Revisão Bibliográfica: Learning Vector Quantization 28/04/2003
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Median Radial Basis Functions Network for Optical Flow Processing - Bors, Pitas layer weights are estimated based on Learning Vector Quantization (LVQ)In the second stage the out- www-users.cs.york.ac.uk/~adrian/HTML/../Papers/Conferences/NSIP95.pdf Optical Flow Estimation and Moving Object Segmentation Based on .. - Bors, Pitas a clustering approach, similar to the Learning Vector Quantization (LVQ) 28]A robust statistics-based poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/Bors98a/Bors97d.ps.Z
Image Segmentation Based on a Dynamically Coupled Neural.. - Chen, Wang Range Image Segmentation Using a Relaxation Oscillator Network - Liu, Wang (1999) Nonlinear Features for Classification and Pose Estimation.. - Talukder, Casasent (1998) Detection of Spectra in Objective Prism Images Using Neural.. - Smareglia, Pasian Analysis of Autoassociative Mapping Neural Networks - Ikbal, Misra, Yegnanarayana (1999) Recurrent Autoassociative Networks - Developing Distributed.. - Stoianov
The self-organizing map - Kohonen - 1990 Lvq pak: the learning vector quantization program package - Kohonen, Hynninen et al. - 1996 Berlin-Heidelberg-New YorkTokio - Kohonen, Associative et al. - 1989 Recognition and pose estimation of unoccluded three-dimensio.. - Khotanzad - 1996 Multiscale image segmentation using a hierarchical self-orga.. - Bhandarkar, Koh et al. - 1997 Object Recognition from 2D images using Kohonen Self-Organis.. - Lakany, Schukat-Talamazzini et al. - 1997 An extended Kohonen phonetic map - Albeverio, Kruger et al. - 1997 Globally Optimal Vector Quantizer Design Using Stochasticall.. - Bi, Bi et al. - 1994 Bonn-Paris-New York-Tokyo-Singapore - Zell, Netze - 1994 Studies on object recognition from degraded images using neu.. - Ravichandran, Yegnanarayana - 1995
Duration Features in Prosodic Classification: Why.. - Batliner, Nöth.. (2001) Using Prosodic Features To Characterize Off-Talk In.. - Siepmann, Batliner.. (2001) 3-D Reconstruction and Camera Calibration from Images with.. - Socher, Merz, Posch (1995)
A comparative study on multispectral agricultural images.. - Solaiman Mouchot Brown Medical Image Compression and Feature Extraction using.. - Guy Cazuguel Andras A Comparative Study of Conventional and Neural Network.. - Multispectral Data.. Multispectral LANDSAT Images Segmentation using Neural.. - Solaiman, Mouchot, Koffi Multisensor data fusion using fuzzy concepts: Application .. - Solaiman, Pierce, Ulaby (1999) Multisensor fusion through fuzzy reasoning. Application .. - Solaiman Pierce..
Introduction to the Theory of Neural Computation - Hertz, Krogh et al. - 1991 Self-Organization and Associative Memory - Kohonen - 1989 Book Details from Barnes & Noble Multispectral Classification of Landsat-Images Using Neural .. - Bischof, Schneider et al. - 1992 Neural Network Approaches Versus Statistical Methods in Clas.. - Benediktsson, Swain et al. - 1990 A Hybrid Algorithm, HLVQ, Combining Unsupervised and Supervi.. - Solaiman, Mouchot et al. - 1994 A Comparative Study of Conventional and Neural Network Class.. - Solaiman, Mouchot – 1994
Multisensor fusion through fuzzy reasoning. Application .. - Solaiman Pierce.. Multisensor data fusion using fuzzy concepts: Application .. - Solaiman, Pierce, Ulaby (1999) A comparative study on multispectral agricultural images.. - Solaiman Mouchot Brown Image Analysis For Material Characterisation - Livens (1998)
Image Analysis For Material Characterisation - Livens A Texture Analysis Approach to Corrosion Image.. - Livens, Scheunders.. (1996) Wavelet-based Texture Analysis - Scheunders, Livens, Wouwer, Vautrot, .. (1997) An Adaptive Texture and Shape Based Defect Classification - Iivarinen, Visa (1998) Wavelets as chromatin texture descriptors for the.. - Wouwer, Weyn.. (2000) Wavelets For Multiscale Texture Analysis - Wouwer (1998) Reader CKI-10 2001 / 2002 - Samenstelling Maarten Janssen Computer Algebra Nederland Nieuwsbrief 5 - Juni Inhoud Inleiding
Self-organizing Maps - Kohonen - 1995 Book Details from Amazon or Barnes & Noble Orthonormal bases of compactly supported wavelets - Daubechies - 1988 Symmetric phase only matched filtering of fourier mellin tra.. - Chen, Defrise et al. - 1994 LVQ PAK: The Learning Vector Quantization program package - Kohonen, Hynninen et al. - 1996 LVQ classification of corrosion images from wavelet represen.. - Livens, Scheunders et al. - 1995 Texture defect detection: a review - Song, Petrou et al. - 1992 LVQ classification of corrosion images from wavelet represen.. - Livens, Scheunders et al. - 1995 LVQ classification of corrosion images from wavelet features - Livens, Scheunders et al. - 1995 A texture analysis approach to corrosion image classificatio.. - Livens, Scheunders et al. - 1996 A texture analysis approach to corrosion image classificatio.. - Livens, Scheunders et al. - 1996 Wavelets for texture analysis - Livens - 1997 Wavelet correlation signatures for color texture characteriz.. - Wouwer, Livens et al. - 1997 Colour image analysis for light microscopy - Livens - 1996 Deriving corrosion knowledge from case histories: the neural.. - Smets, Bogaerts - 1992 Wavelets for texture analysis: an overview - Livens, Wouwer - 1997 Circular-mellin features for texture segmentation - Ravichandran, Trivedi - 1995 Designing a defect classification system: A case study - Brzakovic, Vujovic - 1996 Karakterisatie van corrosiebeelden - Livens - 1994 Karakterisatie van corrosiebeelden - Livens - 1994 Rotation-invariant texture segmentation using continuous wav.. - Wouwer, Vautrot et al. - 1997 Computer aided corrosion engineering - Bogaerts, Smets et al. - 1993 Colour texture classification by wavelet energy-correlation .. - Wouwer, Livens et al. - 1997 Special issue on Image Processing - Scheunders, Livens et al. - 1998 Towards rotational invariant wavelet features for texture an.. - Livens - 1996 Texture analysis using wavelet features; an application in c.. - Livens, Scheunders et al. - 1996 Continuous wavlets for rotation-invariant texture classifica.. - Vautrot, Wouwer et al. - 1997 How to measure the shape of silver halide microcrystals - Livens - 1997 A new approach towards self adaptive object recognition - Van Dyck, Livens et al. - 1994 an ideal tool for multiscale image analysis - Livens, Wouwer - 1996 A Connectionist System for Corrosion Failure Analysis and Ri.. - Smets - 1995 Measuring small objects from digital images : what limits th.. - Livens - 1998 Granulometric segmentation using a gradient convergence map - Livens, Van Roost et al. - 1997 On optimal image quantizers and their dependence on initial .. - Scheunders, Van Hove et al. - 1995 Automatic casting surface defect recognition and classificat.. - Wong, Elliot et al. - 1995 Pipe corrosion inspection crawler fact sheet - Marsh - 1996 The era of corrosion automata - a retrospect of corrosion - Bogaerts
Object Segmentation in 3-D Images Based on Alpha-Trimmed Mean.. - Bors, Pitas In the classical approach based on the Learning Vector Quantization, the center is updated using: i (X - www-users.cs.york.ac.uk/~adrian/HTML/../Papers/Conferences/EUS98a.pdf Fast Image Analysis Using Kohonen Maps - Willett Busch (1994) (1 citation) additional postprocessing with learning vector quantization (LVQ) is recommended [7]3 SPEED-UP www.fb9-ti.uni-duisburg.de/mitarbeiter/willett/ieee94_e.ps.gz Image annotation based on Learning Vector Quantization and.. - Blume, Ballard (1997) (3 citations) Page 1 Image annotation based on Learning Vector Quantization and localized Haar wavelet transform www.reticular.com/Library/ImageAnnot/aerosens.ps Region-Based Relevance Feedback In Image Retrieval - Jing, Li, Zhang, Zhang (2002) of the retrieved images. Then the Learning Vector Quantization (LVQ) algorithm is employed to cluster scenery.diy.163.com/professional/papers/iscas02.pdf A comparative study on multispectral agricultural images.. - Solaiman Mouchot Brown The Bayesian classifier and the Hybrid Learning Vector Quantization (HLVQ) 4 neural network have very perso-iti.enst-bretagne.fr/~solaiman/Documents/Publis/Pdf/ROME95.pdf A Texture Analysis Approach to Corrosion Image Classication - Stefan Livens Paul (1996) The classi#cation is performed with a Learning Vector Quantization network and comparison is made with www.ruca.ua.ac.be/visielab/papers/livens/mmm96.pdf Computer-Aided Diagnosis for Surgical Office-Based Breast.. - Ruey-Feng Chang Phd on the digital US image. Then a learning vector quantization model with 24 autocorrelation texture www.cs.ccu.edu.tw/~rfchang/soa0006.pdf Scalable Spatial Event Representation - Tesic, Newsam, Manjunath (2002) label each of the dataset features. The Learning Vector Quantization (LVQ3) algorithm is iteratively vision.ece.ucsb.edu/publications/02ICMEJelena.pdf Learning Similarity Space - Carkacioglu, Vural (2002) followed by fine-ming process using learning vector quantization. Santini and Jain [4] develop a www.ceng.metu.edu.tr/~carkaci/icip02.ps Learning Similarity for Texture Image Retrieval - Guodong Guo Stan (2000) followed by a fine-tuning process using learning vector quantization. However, the performance of their markov.eee.ntu.edu.sg:8000/~szli/papers/eccv2000.ps.gz A Coloring Method of Gray-Level Image using Neural Networks - Jang-Hee Yoo for image processing include LVQ (learning vector quantization)SOFM (self-organizing feature map) garfield.etri.re.kr/~jhyoo/jhyoo/docs/coloring.ps.gz Image classification using adaptative-learning techniques.. - Cortijo, Blanca (1996) the first is based on the use of learning vector quantization methods (LVQ) proposed by Kohonen decsai.ugr.es/pub/diata/tech_rep/TR960310.ps.Z Detection of Spectra in Objective Prism Images Using Neural.. - Smareglia, Pasian of this work is the so-called Dynamic Learning Vector Quantization (DLVQ) method. The idea behind this wwwas.oat.ts.astro.it/smareglia/paper/93/adass3_nn.ps.gz A Texture Analysis Approach to Corrosion Image.. - Livens, Scheunders.. (1996) The classification is performed with a Learning Vector Quantization network and comparison is made with wcc.ruca.ua.ac.be/~visielab/papers/mmm.ps.gz 6.4.2. Phonetic typewriter
Dynamically Expanding Context as Committee Adaptation.. - Laaksonen, Aksela, Oja (1999) Adaptive Local Subspace Classifier in on-line recognition .. - Laaksonen, Aksela, Oja (1999) Adaptation Of Prototype Sets in On-Line Recognition of .. - Laaksonen, Vuori.. (1999) Adaptive Character Recognizer For A Hand-Held Device.. - Vuori, Aksela.. (2000) On-line Adaptation in Recognition of Handwritten.. - Vuori, Laaksonen.. (1999) Controlling On-Line Adaptation of a Prototype-Based.. - Vuori, Laaksonen, Oja (2000) Comparison of Adaptive Strategies for On-Line Character.. - Laaksonen, Hurri, Oja (1998)
An algorithm for vector quantizer design - Linde, Buzo et al. - 1980 Clustering Algorithms - Hartigan - 1975 Nearest neighbor pattern classification - Cover, Hart - 1967 Some methods for classification and analysis of multivariate.. - MacQueen - 1967 and macromolecules: the theory and practice of sequence comp.. - Sankoff, Kruskal et al. - 1983 Binary codes capable of correcting deletions - Levenshtein - 1966 volume 30 of Springer Series in Information Sciences - Kohonen - 1997 Book Details from Amazon or Barnes & Noble Unipen project of on-line data exchange and recognizer bench.. - Guyon, Schomaker et al. - 1994 with application to the correction of symbol strings in the .. - Kohonen, Context - 1986 Comparison of adaptive strategies for on-line character reco.. - Laaksonen, Hurri et al. - 1998 Adaptation in on-line recognition of handwriting - Vuori - 1999 Adaptation of prototype sets in on-line recognition of isola.. - Laaksonen, Vuori et al. - 1999 Experiments with a self-supervised adaptive classification s.. - Laaksonen, Hurri et al. - 1998 Short-Time Feature Vector Based Phonemic Speech Recognition .. - Torkkola - 1991 Local subspace classifier - Laaksonen - 1997 line adaptation in recognition of handwritten alphanumeric c.. - Vuori, Laaksonen et al. - 1999 Dynamically expanding context as committee adaptation method.. - Laaksonen, Aksela et al. - 1999 Adaptive local subspace classifier in on-line recognition of.. - Laaksonen, Aksela et al. – 1999
Adaptive On-line Recognition of Handwriting - Vuori (1998) On-line Adaptation in Recognition of Handwritten.. - Vuori, Laaksonen.. (1999) Adaptation Of Prototype Sets in On-Line Recognition of .. - Laaksonen, Vuori.. (1999)
Abstract: In this paper we show that there are some intriguing links between the Backpropagation and LVQ algorithms. We show that Backpropagation used for training the weights of radial basis function networks exhibits an increasing competitive nature as the dispersion parameters decrease. In particular, we prove that LVQ can be regarded as a competitive learning scheme taking place in radial basis function networks. () 1997 Elsevier Science B.V.
A VLSI System for Neural Bayesian and LVQ Classification - Thissen, Verleysen.. (1995) Successes And Failures Of Backpropagation: A Theoretical.. - Frasconi, Gori, Tesi Representation of Finite State Automata in Recurrent.. - Frasconi, Gori.. (1996)
Image Document Categorization using Hidden Tree Markov.. - Diligenti, Frasconi.. (2001) Text Categorization for Multi-page Documents: A Hybrid.. - Frasconi, Soda, Vullo (2001) Fingerprint Classification with Combinations of Support.. - Yao, Frasconi, Pontil (2001)
Learning Fingerprint Minutiae Location and Type - Prabhakar, Jain, Pankanti Fingerprint Classification and Matching Using a Filterbank - Prabhakar Verification of Ink-on-paper Fingerprints by Using.. - Conti, Pilato.. (2002) Fingerprint Enhancement by Shape Adaptation of Scale-Space.. - Almansa, Lindeberg (1998) Adaptive flow orientation based feature extraction in.. - Ratha, al. (1995) Determination of Minutiae Scores for Fingerprint.. - Bhowmick, Bishnu.. On the Individuality of Fingerprints - Pankanti, Prabhakar, Jain (2001) Minutiae Detection Through Classifier Fusion and Clustering - Carlson, Bebis, Looney
Pattern Classification - Duda, Hart et al. LVQ PAK: A program package for the correct application of le.. - Kohonen, Kangas et al. - 1992 Goal-directed evaluation of binarization methods - Trier, Jain - 1995 An identity authentication system using fingerprints - Jain, Hong et al. - 1997 An approach to fingerprint filter design - O'Gorman, Nickerson - 1989 Adaptive flow orientation-based feature extraction in finger.. - Ratha, Chen et al. - 1995 Direct gray-scale minutiae detection in fingerprints - Maio, Maltoni - 1997 Filterbank-based fingerprint matching - Jain, Prabhakar et al. - 2000 A tree system approach for fingerprint pattern recognition - Moayer, Fu - 1986 Enhancement and feature purification of fingerprint images - Hung - 1993 Fingerprint image enhancement: algorithm and performance eva.. - Hong, Wan et al. - 1998 Edge detection in fingerprints - Verma, Majumdar et al. - 1987 Distribution of epidermal ridge minutiae - Stoney - 1988 Fingerprint image postprocessing: A combined statistical and.. - Xiao, Raafat - 1991 Fingerprint minutiae extraction from skeletonized binary ima.. - Farina, Kovacs-Vajna et al. - 1999 System and method for determining quality of fingerprint ima.. - Bolle, Pankanti et al. - 1999 Logical templates for feature extraction in fingerprint imag.. - Bhanu, Boshra - 2000 Neural network based minutiae filtering in fingerprints - Maio, Maltoni - 1998 Knowledge based fingerprint image enhancement - Luo, Tian - 2000 Learned template for feature extraction in fingerprint image.. - Bhanu, Tan - 2001
Learning the Human Face Concept From Black and White Pictures - Duta, Jain Statistical Pattern Recognition: A Review - Jain, Duin, Mao (1999) Face Modeling For Recognition - Hsu, Jain
Status Report Of The Finnish Phonetic Typewriter Project - Torkkola, Kangas, Utela, .. (1991) (1 citation) core of the basic recognition system is Learning Vector Quantization (LVQ1) 1]This algorithm was www.cis.hut.fi/~mikkok/torkkola.icann91.ps.gz Improving Handwritten Character Segmentation By Incorporating - Bayesian Knowledge With well-known machine learning methods (Learning Vector Quantization and a simplified version of the slt.wcl.ee.upatras.gr/Publications/../papers/maragoudakis8.pdf A Global Optimization Technique for Statistical Classifier .. - Miller, Rao, Rose, Gersho (2 citations) The method is compared with learning vector quantization, back propagation, several radial rainbow.ece.ucsb.edu/current/ajit/papers/class.ps An Adaptive Classification Scheme to Approximate.. - Encarnao Gross.. (1992) (1 citation) classifiers such as backpropagation or learning vector quantization (LVQ) 1/5/7/According to the ftp.icsi.berkeley.edu/pub/techreports/1992/tr-92-047.ps.gz Classification with Learning k-Nearest Neighbors - Laaksonen, Oja (1996) (4 citations) rules resemble those of the well-known Learning Vector Quantization (LVQ) method, but at the same time the www.cis.hut.fi/~jorma/papers/icnn96.ps Transformation Invariance in Pattern Recognition -.. - Simard, Le Cun.. (1998) (19 citations) a survey) to learned-function such as learning vector quantization (LVQ) 17] and gradient descent. www.research.att.com/~yann/exdb/publis/./psgz/simard-98.ps.gz On the Analysis of Pattern Sequences by Self-Organizing Maps - Kangas (1994) (18 citations) Models LPC Linear Prediction Coding LVQ Learning Vector Quantization SOM Self-Organizing Map TDNN Time www.cis.hut.fi/~jari/papers/thesis94.ps.Z Cursive Character Recognition by Learning Vector Quantization - Camastra, Vinciarelli (2001) (1 citation) Cursive Character Recognition by Learning Vector Quantization Francesco Camastra a Alessandro ftp.disi.unige.it/person/CamastraF/prl01.ps Recognition of Handwritten Digits by Combining Independent.. - Tin Kam Ho (1993) (2 citations) Digits by Combining Independent Learning Vector Quantizations Tin Kam Ho AT&T Bell Laboratories www.ampl.com/who/tkh/papers/lvq.ps.gz Combined Compression and Classification with Learning Vector.. - Baras, Dey (1998) Compression and Classification with Learning Vector Quantization by J. Baras, S. Dey T.R. 98-26 www.isr.umd.edu/TechReports/ISR/1998/TR_98-26/TR_98-26.pdf Using SOMs As Feature Extractors For Speech Recognition - Kangas, Torkkola, Kokkonen (1992) a static pattern classifier by the Learning Vector Quantization (LVQ) algorithm [6]In reference [9] ftp.idiap.ch/pub/papers/speech/torkkola.icassp92.ps.Z LVQ-based Speech Recognition with High-Dimensional.. - Mäntysalo, Torkkolay.. In this paper we have applied the Learning Vector Quantization methods, including the latest members.home.net/torkkola/sp_papers/torkkola_icslp92_1.ps.gz Using Phoneme Group Specific LVQ-codebooks with HMMs - Utela, Kaski, Torkkola design criteria are quite different. Learning Vector Quantization (LVQ) 6] is an algorithm for ftp.idiap.ch/pub/papers/speech/torkkola.icslp92.3.ps.Z On-line Adaptation in Recognition of Handwritten.. - Vuori, Laaksonen.. (1999) The reshaping algorithm is based on Learning Vector Quantization (LVQ)Four dioeerent adaptation www.cis.hut.fi/~vuokkov/hcr/icdar_org.ps Adaptive Character Recognizer For A Hand-Held Device.. - Vuori, Aksela.. (2000) ones with a method based on the Learning Vector Quantization. The adaptation process is supervised unipen.nici.kun.nl/7th.iwfhr.2000/proceedings/postscript/paper-044-Vuori.ps Adaptation Of Prototype Sets in On-Line Recognition of .. - Laaksonen, Vuori.. (1999) by utilizing a modified version of the Learning Vector Quantization (LVQ) algorithm. The presented www.cis.hut.fi/~jorma/papers/fhr.ps Pattern classification - Denoeux (1996) Coulomb Energy (RCE) 38] and Learning Vector Quantization (LVQ) 20] networks. In the RCE model, www.hds.utc.fr/~tdenoeux/revues/ncf1_1.ps The JANUS Speech Recognizer - Rogina, Waibel (1995) (5 citations) nonlinear discrimiant ananlysis [8]learning vector quantization (LVQ-2) 9]and mixture size www.is.cs.cmu.edu/~wwwadm/papers/speech/1995/SLT_95_Ivica_Rogina_1.ps.gz Cursive Character Recognition by Learning Vector Quantization - Camastra, Vinciarelli (2000) (1 citation) Suisse Cursive Character Recognition by Learning Vector Quantization Francesco Camastra a b Alessandro ftp.idiap.ch/pub/reports/2000/rr00-47.ps.gz Recognition of Unconstrained Handwritten Numerals by a Radial .. - Hwang Young-Sup network c K nearest neighbor d Learning vector quantization e Minimum distance classifier It nova.postech.ac.kr/~suvia/papers/rbf_pr.ps Comparison of Adaptive Strategies for On-Line Character.. - Laaksonen, Hurri, Oja (1998) features an extension of the neural Learning Vector Quantization (LVQ) algorithm to the DTW distance www.cis.hut.fi/~jorma/papers/icann98.ps Automatic Phonetic Transcription of Words Based On Sparse Data - Wolters, van den Bosch (1997) again. For this second stage, we use Learning Vector Quantization (lvq, Kohonen et al.1996)lvq ftp.cs.unimaas.nl/pub/ecml97/wolters-ftp.ps.gz Segmental LVQ3 Training For Phoneme-Wise Tied Mixture Density HMMs - Kurimo (1996) the recognition of Finnish words. The Learning Vector Quantization (LVQ) methods are applied to increase www.cis.hut.fi/~mikkok/eusipco96.ps.gz 6.4.3. Creation and Intrusion Detection
Abstract: Anomaly detection involves characterizing the behaviors of individuals or systems and recognizing behavior that is outside the norm. This paper describes some preliminary results concerning the robustness and generalization capabilities of machine learning methods in creating user profiles based on the selection and subsequent classification of command line arguments. We base our method on the belief that legitimate users can be classified into categories based on the percentage of commands...
A Hybrid Approach to the Profile Creation and Intrusion.. - Marin, Ragsdale, Surdu (2001) Intrusion Detection: A Bibliography - Mé, Michel (2001) Ensemble Learning for Intrusion Detection in - Luca (2002) Real Time Data Mining-based Intrusion Detection - Lee, Stolfo, Chan, Eskin.. Simulation And Agent Cooperation In Dynamic Plan Building - John Hill Department (2001) Implementation Oftheanticipatory Planning Support System - John Hill Department The Iwar Range: A Laboratory For Undergraduate.. - Schafer, Ragsdale.. (2001)
The Self-Organizing Map - Kohonen - 1992 Book Details from Amazon or Barnes & Noble Self-Organization and Associative Memory - Kohonen - 1987 Book Details from Barnes & Noble Cluster Analysis for Applications - Anderberg - 1973 Network Intrusion Detection - Biswanath, Heberlein et al. - 1994 An Intrusion-Detection Model - Denning - 1987 A Sense of Self for Unix Processes - Forrest, Hofmeyr et al. - 1996 Statistical Pattern Recognition with Neural Networks: Benchm.. - Kohonen, Barna et al. - 1988 Computer Immunology - Forrest, Hofmeyr et al. - 1997 Computer Security Threat Monitoring and Surveillance - Anderson - 1980 Concept Acquisition Through Representational Adjustment - Schlimmer - 1987 The SRI IDES statistical anomaly detector - Javitz, Valdes - 1991 Detection of Anomalous Computer Session Activity - Vaccaro, Liepins - 1989 Temporal sequence learning and data reduction for anomaly de.. - Lane, Brodley - 1999 Analysis of Four Uncertainty Calculi - Henkind, Harrison - 1989 Experience with EMERALD to Date - Neumann, Porras - 1999 Adaptive Realtime Anomaly Detection Using Inductively Genera.. - Teng, Chen et al. - 1990 ASAX: Software Architecture and Rule-based Language for Univ.. - Habra, Charlier et al. - 1992 Learning Vector Quantization for Pattern Recognition - Kohonen - 1986 Detecting Unusual Program Behavior Using the Statistical Com.. - Anderson, Lunt et al. - 1995 Intrusion Detection with Neural Networks - Ryan, Lin et al. - 1998 Design and Implementation of a Scalable Intrusion Detection .. - Jou, Gong et al. - 2000 Fuzzy Logic: Intelligence - Yen, Lengari - 1999 Intrusion Detection via System Call Traces - Kosoresow, Hofmeyr - 1997 Statistical Foundations of Audit Trail Analysis for the Dete.. - Helman, Liepins - 1993 MacMillan Technical Publishing - Bace, Detection - 2000 Proactive Anomaly Detection Using Distributed Intelligent Ag.. - Thottan, Ji - 1998 Intrusion detection Applying machine learning to Solaris aud.. - Endler - 1998 A Framework for Constructing Features and Models for Intrusi.. - Lee, Stolfo - 2000 A Data Mining and CIDF Based Approach for Detecting Novel an.. - Lee, Nimbalkar et al. Real-time Anomaly detection Using a Nonparametric Pattern Re.. - Lankewicz, Benard - 1991 Intelligent Agents for Intrusion Detection and Countermeasur.. - Helmer, Wong et al. - 1998 Training a Neuralnetwork Based Intrusion Detector to Recogni.. - Lee, Heinbuch - 2000 EMERALD Network Intrusion Detection Project Description - Porras Multiple Self-Organizing Maps for Intrusion Detection - Rhodes, Mahaffey et al. - 2000 EEG Classification by Learning Vector Classification - Flotzinger, Kalcher et al. - 1992 Anomaly Detection - A Soft Computing Approach - Lin - 1994 Nonparametric Classification Using Learning Vector Quantizat.. - LaVigna - 1989 MA: PWS-Kent Publishing Co - Giarratno, Riley - 1989
Synchronized Simulations In Planning Systems - John Hill Department (2001) Keywords: - Simulation Operation Monitoring A Hybrid Approach to the Profile Creation and Intrusion.. - Marin, Ragsdale, Surdu (2001)
Abstract: A system based on a multi--layer feed--forward neural network is presented, which is able to detect and extract single, multiple or overlapped spectra from objective prism images, and to perform a coarse classification. The data obtained are currently fed to subsequent wavelength calibration and detailed rule-- based classification steps. Given the encouraging results obtained, we plan to use the neural network approach to perform the immediate classification of the extracted spectra with an...
Automated Objective Prism Spectral Classification Using.. - Pasian And Smareglia The ellipticities of Galactic and LMC globular clusters - Simon Goodwin Data Handling And Archiving At The Galileo Telescope - Balestra Pasian Pucillo
Technical Report - Kohonen, Kangas et al. - 1992 Storrie-Lombardi L - von Hippel - 1994
The Data Flow, from Observations to the Archive.. - Pasian Smareglia.. Luminosity Function of Early-Type Galaxies in Clusters Cores.. - Emilio Molinari A generalized Mosaic-to-SQL interface with extensions.. - Pasian Smareglia.. 6.4.4. Outras Aplicações
Bayesian Integration of Rule Models - Pedro Domingos GA-MINER: Parallel Data Mining with Hierarchical Genetic.. - Flockhart (1995)
Support-Vector Networks - Cortes, Vapnik (1995) Communities of Interest - Corinna Cortes Daryl PSIDE Users' Guide - Lioen, de Swart, al. (1998) Programs for machine learning - Quinlan – 1993
Giga-Mining - Corinna Cortes Daryl (1998) Hancock: A Language for Extracting Signatures from.. - Cortes, Fisher.. (2000) Support-Vector Networks - Cortes, Vapnik (1995)
Abstract: We present a theoretical foundation for competitive learning in the domain of graphs within a connectionist framework. In the first part of this contribution we embed graphs in an Euclidean space to facilitate competitive learning in the domain of graphs. We adopt constitutive concepts of competitive learning like the scalar products, metrics, and the weighted mean for graphs. The first part is independent of the particular graph matching algorithm for determining the best matching model...
Distance-based Classification of Structures within a.. - Jain, Wysotzki (2001) A Connectionist Approach to the Distance-Based Analysis of.. - Schädler, Wysotzki (1997) A Lagrangian Relaxation Network for Graph Matching - Rangarajan, Mjolsness (1996) Multiple Modular Networks For Recognition Of Utterances Of.. - Sekhar, Siva, Rao (1999) A silicon primitive for competitive learning - Hsu, Diorio (2000) Optimal Configuration of OSPF Aggregates - Rastogi, Breitbart, Garofalakis, .. (2002)
Computers and Intractability: A Guide to the Theory of NP-Co.. - Garey, Johnson - 1979 Self-Organization and Associative Memory - Kohonen - 1984 Computer Vision - Ballard, Brown - 1982 Self-organized formation of topologically correct feature ma.. - Kohonen - 1982 Neural computation of decisions in optimization problems - Hopfield, Tank - 1985 A graduated assignment algorithm for graph matching - Gold, Rangarajan - 1996 The ART of adaptive pattern recognition by a self-organizing.. - Carpenter, Grossberg - 1988 Structural matching in computer vision using probabilistic r.. - Christmas, Kittler et al. - 1995 IEEE Transaction on Pattern Analysis and Machine Intelligenc.. - Shapiro, Haralick et al. - 1981 Data clustering: a review - Jain, Murty et al. - 1999 An introduction to computing with neural nets - Lippman - 1987 A novel optimizing network architecture with applications - Rangarajan, Gold et al. - 1996 An image understanding system using attributed symbolic repr.. - Eshera, Fu - 1986 Entropy and distance of random graphs with application to st.. - Wong, You - 1985 Matching hierarchical structures using association graphs - Pelillo, Siddiqi et al. - 1999 A Lagrangian relaxation network for graph matching - Rangarajan, Mjolsness - 1996 The maximum clique problem - Bomze, Budinich et al. - 1999 An eigen decomposition approach to weighted graph matching p.. - Umeyama - 1988 Learning relational concepts with decision trees - Geibel, Wysotzki - 1996 Supervised neural networks for the classification of structu.. - Sperduti, Starita - 1997 Learning with preknowledge: Clustering with point and graph .. - Gold, Rangarajan et al. - 1995 relational learning with decision trees - Geibel, Wysotzki - 1996 An analysis of recent work on clustering algorithms - Fasulo - 1999 a certain distance between the isomorphism classes of graphs - Zelinka - 1975 Recent developments in graph matching - Bunke - 2000 Relaxation by the hopfield neural network - Yu, Tsai - 1992 A massively parallel architecture for a selforganising neura.. - Carpenter, Grossberg - 1987 Pattern recognition by graph matching using potts mft networ.. - Suganthan, Teoh et al. - 1995 Fuzzy graphs - Rosenfeld - 1975 Graphmetriken und Distanzgraphen - Kaden - 1982 Graph-based hierarchical conceptual clustering - Jonyer, Holder et al. - 2001 A connectionist approach to structural similarity determinat.. - Schadler, Wysotzki - 1997 the short-term-memory of WTA nets - Jain, Wysotzki - 2001 Comparing structures using a Hopfield-style neural network - Schadler, Wysotzki - 1999 IEEE Transactions on Information Theory - Gersho, structure et al. - 1982 Die Ermittlung struktureller Ahnlichkeit und struktureller M.. - Schadler - 1999 Efficient pattern discrimination with inhibitory WTA nets - Jain, Wysotzki - 2001 Fast winner-takes-all networks for the maximum clique proble.. - Jain, Wysotzki - 2002 Weighted mean of a pair of graphs - Bunke, Gunter - 2001 Distance-based classification of structures within a connect.. - Jain, Wysotzki - 2001 ART 2: Self-organisation of stable category recognition code.. - Carpenter, Grossberg - 1987 Adaptive self-organizing map in the graph domain - Gunter, Bunke - 2002 Winner-takes-all classification of structures - Jain, Wysotzki - 2003 Self-organizing map for clustering in the graph domain - Gunter, Bunke - 2002 Self-organizing recognition and classification of relational.. - Jain, Wysotzki - 2002 Recent advances in structural pattern recognition with appli.. - Bunke - 2001 Heuristics for similarity searching of chemical graphs using.. - Raymond, Gardiner et al. - 2002 Synthesis of function-described graphs and clustering of att.. - Serratosa, Alquezar et al. - 2002
Efficient Pattern Discrimination with Inhibitory WTA Nets - Jain, Wysotzki (2001) Distance-based Classification of Structures within a.. - Jain, Wysotzki (2001) Fast Winner-Takes-All Networks for the Maximum Clique Problem - Jain, Wysotzki (2002)
Solving Even-12, -13, -15, -17, -20 and-22 Boolean Parity.. - Riccardo Poli (1999) Smooth Uniform Crossover, Sub-Machine Code GP and Demes: A.. - Poli, Page (1999) Solving High-Order Boolean Parity Problems with Smooth Uniform.. - Poli, Page (2000) Omnidirectional Vision Algorithms in Robotics - Adorni, Cagnoni, Carletti.. (2002) Sub-Machine-Code GP: New Results and Extensions - Poli (1999) Efficient Evolution of Parallel Binary Multipliers and Continuous.. - Poli (1998)
Genetic Programming: On the Programming of Computers by Mean.. - Koza - 1992 Self-organization and associative memory - Kohonen - 1988 Genetic Programming: An Introduction - Banzhaf, Francone et al. - 1998 Sub-machine-code Genetic Programming - Poli, Langdon - 1999 Sub-machine-code GP: New results and extensions - Poli - 1999 License-plate recognition for restricted-access area control.. - Adorni, Bergenti et al. - 2000 Access control system with neuro-fuzzy supervision - Adorni, Cagnoni et al. available via anonymou ftp from ftpgarage - Punch, user et al. - 1996 OSLVQ: a training strategy for optimum-size Learning Vector .. - Cagnoni, Valli - 1994 Efficient low-resolution character recognition using Sub-mac.. - Adorni, Cagnoni et al. - 2001 Application of genetic programming for multicategory pattern.. - Kishore, Patnaik et al.
Evidence Accumulation Method for Mobile Robot Localization - Restelli, Sorrenti, Marchese (2002) Towards An Adaptive Mail Classifier - Manco, Masciari, Ruffolo, Tagarelli (2002) Recupero di immagini tramite trasformata di Hough - Anelli Micarelli Sangineto (2002)
An Algorithm for Model Determination in a Layered Network.. - Kameyama, Kosugi A Note on Shape Matching using a Constructive Relaxation.. - Kameyama, Toraichi, Kosugi Image Matching based on Relaxation and Model Switching on.. - Kameyama, Toraichi Model Switching by Channel Fusion for Network Pruning and.. - Kameyama, Kosugi (1998) Relaxation with Model Switching and its application to.. - Kameyama, Toraichi.. (2002) Constructive Relaxation Matching Involving Dynamical Model.. - Kameyama, Toraichi
Introduction to Statistical Pattern Recogni- tion - Fukunaga - 1990 Self-organization and associative memory - Kohonen - 1988 Statistical Learning Theory - Vapnik - 1999 Networks for approximation and learning - Poggio, Girosi - 1990 Fast learning in networks of locally-tuned processing units - Moody, Darken - 1989 On estimation of a probability density function and mode - Parzen - 1962 Pattern Classi cation and Scene Analysis - Duda, Hart - 1973 Pruning algorithms a survey - Reed - 1993 Color image quantization for frame buffer display - Heckbert - 1982 and the PDP Research Group - Rumelhart, McClelland - 1986 Neural network pruning by fusing hidden layer units - Kameyama, Kosugi - 1991 Model switching by channel fusion for network pruning and ef.. - Kameyama, Kosugi - 1998 Automatic defect classi cation for semicon- ductor manufactu.. - Chou, Rao et al. - 1997 Automatic defect classi cation in visual inspection of semic.. - Kameyama, Kosugi et al. - 1998
An Algorithm for Model Determination in a Layered Network.. - Kameyama, Kosugi A Neural Network Incorporating Adaptive Gabor Filters for .. - Kameyama, Mori, Kosugi (1997) Automatic Fusion and Splitting of Artificial Neural Elements .. - Kameyama, Kosugi
Batch-RLVQ - Hammer, Villmann Input pruning for neural gas architectures - Hammer, Villmann Rule Extraction from Self-Organizing Networks - Hammer, Rechtien, Strickert.. Estimating Relevant Input Dimensions for Self-organizing.. - Hammer, Villmann (2001) Generalized Relevance LVQ for Time Series - Strickert, Bojer, Hammer Supervised Neural Gas for Learning Vector Quantization - Villmann, Hammer, Strickert
Self-Organizing Maps - Kohonen - 1997 Neural-gas' network for vector quantization and its applicat.. - Martinetz, Berkovich et al. - 1993 Self-organizing maps: generalizations and new optimization t.. - Graepel, Burger et al. - 1998 Generalized learning vector quantization - Sato, Yamada - 1995 The enhanced LBG algorithm - Patane, Russo - 2001 Estimating relevant input dimensions for self-organizing alg.. - Hammer, Villmann - 2001 Toplogy Preservation in SelfOrganizing Feature Maps: Exact D.. - Villmann, Der and et al. - 1997 A greedy algorithm for Gaussian mixture learning - Vlassis, Likas - 2002
Recurrent Networks for Structured Data - a Unifying Approach and.. - Hammer Relevance Determination in Learning Vector Quantization - Bojer, Hammer, Schunk.. Estimating Relevant Input Dimensions for Self-organizing.. - Hammer, Villmann (2001)
A neural network architecture for the categorization of.. - Tijsseling, Berthouze Tutte Polynomials in Square Grids - Noy (2000) Triangulating with High Connectivity - Dey, Dillencourt, Ghosh, Cahill (1995) Learning Vector Quantization for Multimodal Data - Hammer, Strickert, Villmann Rule Extraction from Self-Organizing Maps - Hammer, Rechtien, Strickert.. Rule Extraction from Self-Organizing Networks - Hammer, Rechtien, Strickert..
Self-Organizing Maps - Kohonen - 1997 Book Details from Amazon or Barnes & Noble Generalized learning vector quantization - Sato, Yamada - 1995 Annals of Mathematics - Whitney, Manifolds - 1936 Schmidhuber: Long short-term memory - Hochreiter - 1997 Swinney: Independent Coordinates for Strange Attractors from.. - Fraser - 1986 Lecture Notes in Mathematics Vol - Takens, Attractors et al. - 1981 Villmann: Estimating relevant input dimensions for self-orga.. - Hammer - 2001 Birattari: A Multi-Step-Ahead Prediction Method Based on Loc.. - Bontempi - 2000 Schreiber: Nonlinear time series analysis - Kantz - 1997 Abarbanel: Determining embedding dimension for phase-space r.. - Kennel, Brown - 1992 Neural Network World - Dorffner, for et al. - 1996 of Atmospheric Sc - Lorenz, Flow - 1963
Recurrent Networks for Structured Data - a Unifying Approach and.. - Hammer Relevance Determination in Learning Vector Quantization - Bojer, Hammer, Schunk.. Estimating Relevant Input Dimensions for Self-organizing.. - Hammer, Villmann (2001)
Cursive Character Recognition by Learning Vector Quantization - Camastra, Vinciarelli (2001) Intrinsic Dimension Estimation of Data: An Approach Based.. - Camastra, Vinciarelli (2000) A new normalization technique for cursive handwritten words - Vinciarelli, Lüttin (2000) Writer adaptation techniques in HMM based Off-Line Cursive.. - Vinciarelli, al.
Offline Cursive Word Recognition using Continuous Density.. - Vinciarelli, al. (2001) Intrinsic Dimension Estimation of Data: An Approach Based.. - Camastra, Vinciarelli (2000) Cursive Character Recognition by Learning Vector Quantization - Camastra, Vinciarelli (2000)
Addressing the Learnability of Verb Subcategorizations with.. - Mike Dowman Mike (2000) Language evolution without natural selection: From vocabulary to.. - Kirby (1998) Syntax without Natural Selection: How compositionality emerges.. - Kirby (1998) Common Control Principles Of Basal Ganglia - Thalamocortical.. - Lörincz (1996) Temporal Structure Classification of Natural Languages by a.. - Dominey, Ramus Fast global oscillations in networks of integrate-and-fire.. - Brunel, Hakim (1998) The BBG Rule Induction Algorithm - Kevin Van Horn Comparative evaluation of alternative induction engines for.. - Geoffrey Webb (1997) OPUS: An Efficient Admissible Algorithm for Unordered Search - Webb (1995)
Programs for Machine Learning - Quinlan - 1992 Learnability and Cognition The Acquisition of Argument Struc.. - Pinker - 1989 Book Details from Barnes & Noble ective Rule Induction - Cohen, Fast - 1995 Automatic Grammar Induction and Parsing Free Text: A Transfo.. - Brill Bayesian Learning of Probabilistic Language Models - Stolcke - 1994 Language Identication in the Limit - Gold - 1967 Knowledge of Language - Chomsky - 1986 The Machine Learning of Phonological Structure - Ellison - 1992 Language and Number The Emergence of a Cognitive System - Hurford - 1987 A Cross-linguistic Computational Investigation of the Learna.. - Dowman - 1998 An Introduction to Functional Grammar Second Edition - Halliday - 1994
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