Revisão Bibliográfica: Learning Vector Quantization 28/04/2003
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Resultados obtidos nos sites de pesquisa Google e AltavistaSites: http://www.google.com e http://www.altavista.com Discriminant Analysis by Gaussian Mixtures - Hastie, Tibshirani (1996) (35 citations) representation. A technique known as Learning Vector Quantization or LVQ has received a lot of attention www-stat.stanford.edu/reports/pub-pre-move/hastie/mda.tr.ps.Z Convergence Properties of the K-Means Algorithms - Bottou, Bengio (1995) (18 citations) mixtures, Radial Basis Functions, Learning Vector Quantization and some Hidden Markov Models)The www.research.att.com/~leonb/PS/kmeans.ps.gz Learning a Local Similarity Metric for Case-Based Reasoning - Ricci, Avesani (1995) (10 citations) similar approaches and in particular of Learning Vector Quantization [13] can be found in [19]Lowe [15] krr.irst.itc.it:1024/ricci/papers/iccbr.ps.Z Recognizing Teleoperated Manipulations - Pook, Ballard (1993) (14 citations) under teleoperation, using Kohonen 's Learning Vector Quantization[6] 7]Different operators perform hypatia.dcs.qmw.ac.uk/data/edu/cs.rochester.edu/robotics/93.pook.recognizing_teleoperated_manipulations.ps.Z Adapting the Museum: A Non-Intrusive User Modeling.. - Marti, Rizzo, Petroni, .. (1999) (3 citations) of a self-organization algorithm (Learning Vector Quantization) Kohonen et al.1992)which www.cs.usask.ca/UM99/Proc/short/tozzi_034722.pdf Developing Population Codes By Minimizing Description Length - Zemel, Hinton (1994) (11 citations) the bits)For example, in competitive learning (vector quantization)the code is the identity of the ftp.cis.ohio-state.edu/pub/neuroprose/zemel.pop-codes.ps.Z Learning without Local Minima in Radial Basis Function.. - Bianchini, Frasconi, Gori (1995) (9 citations) the computation of RBF to Kohonen 's Learning Vector Quantization (LVQ) 8]This comparison suggests ftp-dsi.ing.unifi.it/pub/tech-reports/rbf-minima.ps.Z A Framework for the Cooperation of Learning Algorithms - Bottou, Gallinari (1991) (16 citations) of hybrid algorithms combining MLP and Learning Vector Quantization (Bollivier, Gallinari &Thiria, ftp.cis.ohio-state.edu/pub/neuroprose/bottou.cooperation.ps.Z A Connectionist Control Component for the Theorem Prover SETHEO - Goller (1994) (6 citations) as backpropagation, delta-bar-delta, learning vector quantization and self-organizing nets, and a Bayes wwwjessen.informatik.tu-muenchen.de/~goller/PAPERS/ecai.ps.gz Evolutionary Learning of Nearest Neighbor MLP - Qiangfu Zhao Tatsuo (1996) (5 citations) feature map (SOFM) and the learning vector quantization (LVQ) algorithms of Kohonen, a large www.u-aizu.ac.jp/~qf-zhao/CONTRIBUTION/IEEEpaper1.ps.Z Learning and Design of Principal Curves - Kégl, Krzyzak, Linder, Zeger (2000) (1 citation) principal curves, feature extraction, learning, vector quantization, convergence rates. B. K'egl and A. magenta.mast.queensu.ca/~linder/psfiles/KeKrLiZe97.ps.gz Implementation and Comparison of Growing Neural Gas, Growing.. - Hamker, Heinke (1997) (3 citations) (MLP) competes with classifiers such as Learning Vector Quantization, Gaussian quadratic classifiers and ftp.tu-ilmenau.de/pub/edu/IA/neuroinf/psdocs/fred/report97_1.ps.gz Active Learning with Local Models - Hasenjäger, Ritter (1998) (2 citations) learning, local models, query based learning, vector quantization 1 Introduction In supervised www.techfak.uni-bielefeld.de/techfak/ags/ni/publications/papers/HasenjaegerRitter1998-ALW.ps.gz Feature Transformation with Generalized Learning Vector.. - Mu-King Tsay Keh-Hwa (1999) (1 citation) Feature Transformation with Generalized Learning Vector Quantization for Hand-Written Chinese Character search.ieice.org/1999/files/../pdf/e82-d_3_687.pdf Statistical Data Compression by Optimal Segmentation - Theory.. - Steiner (1999) (1 citation) set in each adaptation step. We use Learning Vector Quantization (LVQ, see Pollard [22]or Martinetz matrix.wu-wien.ac.at/homepage/download/sfb/segmentation.pdf Initialization of Adaptive Parameters in Density Networks - Wlodzislaw, Rafal, Norbert (1997) (2 citations) may be improved using one of the learning vector quantization (LVQ) procedures [4]Basically all www.phys.uni.torun.pl/publications/kmk/initfsm.ps.gz Using Self-Organizing Maps and Learning Vector Quantization for.. - Kurimo (1997) (2 citations) No. 87 Using Self-Organizing Maps and Learning Vector Quantization for Mixture Density Hidden Markov www.cis.hut.fi/~mikkok/intro.ps.gz New Ways To Use LVQ-Codebooks Together With Hidden Markov Models - Torkkola (1994) (3 citations) way to employ codebooks trained by Learning Vector Quantization together with hidden Markov models. In ftp.idiap.ch/pub/papers/speech/torkkola.icassp94.ps.Z Prototype-Based Minimum Classification Error / Generalized.. - McDermott, Katagiri (1994) (3 citations) reported high classification rates for Learning Vector Quantization (LVQ) networks trained to classify www.hip.atr.co.jp/~mcd/katagiri.ps Multimodal Human-Computer Interaction - Vo, Waibel (1993) (3 citations) additional experiments exploring Learning Vector Quantization (LVQ-2) and Multi-State Time Delay www.is.cs.cmu.edu/papers/multimodal/93.issd.ps.gz Learning an Asymmetric and Anisotropic Similarity Metric for.. - Ricci, Avesani (1995) (2 citations) are [26, 11]The comparison with the Learning Vector Quantization method [11] is discussed with more mnemosyne.itc.it:1024/ricci/papers/cbr95.ps.Z Mapping context dependent acoustic information into.. - Mäntysalo, Torkkola.. (1994) (2 citations) Markov model VQ Vector quantization LVQ Learning vector quantization OLVQ Optimized rate learning vector ftp.idiap.ch/pub/papers/speech/torkkola.specom94.ps.Z Discriminative Training for Speech Recognition - McDermott (1997) (1 citation) . 33 3.2 The Learning Vector Quantization Algorithms . www.kecl.ntt.co.jp/icl/signal/erik/mcd_thesis.ps.gz An Adaptive Two-Stage Approach to Classification of.. - Iivarinen, Rauhamaa, Visa (1997) (1 citation) classication method based on a SOM, a Learning Vector Quantization [9]and a long feature vector www.cis.hut.fi/~jucca/paper/publications/./scia97.ps.gz Optical Chinese Character Recognition using Probabilistic.. - Richard Romero David (1997) (1 citation) of neural network training, LVQ (Learning Vector Quantization) and DSM (Decision Surface Mapping, ktm.ius.cs.cmu.edu/pub_files/pub1/romero_richard_1996_1/romero_richard_1996_1.ps.gz Gated Experts for Classification of Financial Time Series - Vengerov (1997) (1 citation) for GE's in which the gate uses LVQ (Learning Vector Quantization) clustering algorithm for soft www.stanford.edu/~vengerov/MGEfin.ps Using SOM and LVQ for HMM training - Mikko Kurimo (1997) (1 citation) for the mixture densities. If the Learning Vector quantization (LVQ) 2]is used in the training www.cis.hut.fi/~mikkok/report96b.ps.gz Training Mixture Density HMMs with SOM and LVQ - Kurimo (1997) (1 citation) as a mixture of Gaussian densities. The Learning Vector Quantization (LVQ) is used to increase the www.cis.hut.fi/~mikkok/a43.ps.gz Selective Use Of The Speech Spectrum And A Vqgmm.. - Lin, Jan, Che, Yuk.. (1996) (1 citation) females#For each of the speakers, a Learning Vector-Quantization #LVQ #3#codebook is generated using www.asel.udel.edu/icslp/cdrom/vol4/699/a699.pdf An HMM-Based Legal Amount Field OCR System for Checks - Kornai, Mohiuddin, Connell (1995) (1 citation) against two standard techniques, Learning Vector Quantization [10] and Multi-Layer Perceptrons [12] www.cs.rice.edu/~andras/Papers/is21c.ps.gz Unsupervised Segmentation of Surface Defects - Iivarinen, Rauhamaa, Visa (1996) (1 citation) classification method based on a SOM, a Learning Vector Quantization [9]and a long feature vector www.cis.hut.fi/~jucca/paper/publications/./icpr96/icpr96.ps.gz Progressive Classification In The Compressed Domain For.. - Vittorio Castelli (1996) (1 citation) classifiers)k-Nearest Neighbor, Learning Vector Quantization, clustering-based schemes [16]and www.stat.purdue.edu/people/yiannis/PAPERS/icassp.ps.gz Practicing Q-Learning - Bruske, Ahrns, Sommer (1996) (1 citation) RBF networks with additional on-line learning vector quantization (adaptive perceptualization) and www.ks.informatik.uni-kiel.de/~vision/doc/Publications/jbr/1996_Qlearning.ps.Z Using Lvq To Enhance Semi-Continuous Hidden Markov Models For.. - Kurimo (1993) (1 citation) ability of the SCHMMs by applying Learning Vector Quantization. The SCHMMs are used for the modeling www.cis.hut.fi/~mikkok/esp93.ps.gz Optimal Unsupervised Learning - Watkin, Nadal (1993) (1 citation) on cost functions [9]and Kohonen's Learning Vector Quantization algorithm [2, 10]These examples are www.lps.ens.fr/~nadal/articles/unsup.ps.gz Designing Parallel Computers for Self Organizing Maps - Nordström (1992) (1 citation) a fine tuning of the SOFM model called learning vector quantization (LVQ) model has been suggested [29, www.sm.luth.se/~tono/papers/H.dsa.92a.ps.gz Training Continuous Density Hidden Markov Models In.. - Kurimo, Torkkola (1992) (1 citation) on Self-Organizing Maps (SOMs) and Learning Vector Quantization (LVQ) 6]Our framework is to www.cis.hut.fi/~mikkok/nnsp92.ps.gz Adaptive Kernel Classifiers for Short-Duration Oceanic .. - Ghosh, Chakravarthy.. (1991) (1 citation) group of neural-like schemes such as Learning Vector Quantization (LVQ) have also gained considerable ftp.lans.ece.utexas.edu/pub/papers/akc_ocean91.ps.Z Intelligent Query And Browsing Information Retrieval.. - Jong-Min Park Department the user concept. Kohonen's "windowed" Learning Vector Quantization algorithm is shown to be related to engineering.sdsu.edu/~jong-min/publications/./iqbir_icassp98.pdf MULTISOFT Machine - Patanè, Russo to be solved. Key words: Unsupervised Learning, Vector Quantization, Clustering, Parallel, ai.unime.it/~gp/publications/full/parelbg.ps.gz Optimal decision surfaces in LVQ1 classification of patterns - Verleysen, Thissen, Legat (1993) to multidimenfional stimuli spaces. 2. Learning Vector Quantization (LVQ1) The LVQ1 algorithm can be www.dice.ucl.ac.be/~verleyse/papers/esann93mv-s.pdf Robust RBF Networks - Bors, Pitas The first stage rely on a robust learning vector quantization approach which estimates the hidden www-users.cs.york.ac.uk/~adrian/HTML/../Papers/BookChapters/RBFN10.pdf Density-Based Multiscale Data Condensation - Mitra, Murthy, Pal (2002) may be further refined using the learning vector quantization algorithms [14]Competitive learning www.isical.ac.in/~miu/density.pdf Self-Organizing Dialogue Management - Jokinen, Hurtig, Hynn, Kanto.. self-organizing maps, especially the Learning Vector Quantization method, as a classification tool. In mlab.uiah.fi/~kjokinen/KJ/../papers/200112NLPRS.pdf Fully Automatic Clustering System - Patanè, Russo Keywords Clustering, Unsupervised Learning, Vector Quantization, FACS, ELBG I. Introduction Cluster ai.unime.it/~gp/publications/full/facs.ps.gz Competitive Radial Basis functions training for.. - Cosi, Frasconi.. (2000) Competitive radial basis functions Learning vector quantization Phone classi"cation Radial basis www.dsi.unifi.it/~paolo/ps/Neurocomputing00-RBF.pdf An Experimental Comparison between Consistency-based and.. - Ferri, Mollineda, Vidal 1-NN rule with regard to the different Learning Vector Quantization schemes is presented. In particular, www.iti.upv.es/~prhlt/PAPERS/papers01-02/2002/Mollineda02d.ps Competitive Reinforcement Learning for Combinatorial Problems - Abramson, Wechsler (2001) the competitive learning rule found in Learning Vector Quantization (LVQ) serves as a promising function www.iro.umontreal.ca/~chapados/IJCNN2001/Proceedings/pdffiles/papers/563.pdf Can Automatic Personal Categorization deal with User.. - Goren-Bar, Kuflik of Self-Organizing Maps (SOM) and Learning Vector Quantization (LVQ) to automatic document ectrl.itc.it/rpec/RPEC-Papers/13-goren-bar.pdf Rule Extraction from Self-Organizing Networks - Hammer, Rechtien, Strickert.. Germany Abstract. Generalized relevance learning vector quantization (GRLVQ) 4] constitutes a prototype www.informatik.uni-osnabrueck.de/barbara/papers/postscripts/icannbb_02.ps.gz Rule Extraction from Self-Organizing Maps - Hammer, Rechtien, Strickert.. 1 Abstract Generalized Relevance Learning Vector Quantization (GRLVQ) constitutes a prototype based www.informatik.uni-osnabrueck.de/barbara/papers/talks/icann02_rules.ps.gz Supervised Neural Gas for Learning Vector Quantization - Villmann, Hammer, Strickert Supervised Neural Gas for Learning Vector Quantization Thomas Villmann, Barbara Hammer, 2 www.informatik.uni-osnabrueck.de/barbara/papers/postscripts/gi_02.ps.gz Discriminative Prototype-Based Methods For Speech Recognition - Mcdermott are then described. These include: Learning Vector Quantization (LVQ)and different schemes for www.kecl.ntt.co.jp/icl/signal/erik/nn_handbook.ps.gz Batch-RLVQ - Hammer, Villmann Abstract. Recently a variation of learning vector quantization has been proposed in [1]which allows www.informatik.uni-osnabrueck.de/barbara/papers/postscripts/batch_esann02.ps.gz Estimating Relevant Input Dimensions for Self-organizing.. - Hammer, Villmann (2001) a new scheme for enlarging generalized learning vector quantization with weighting factors for the several www.informatik.uni-osnabrueck.de/barbara/papers/postscripts/grlvq_01_babsvill.ps.gz Stable On-Line Evolutionary Learning of NN-MLP - Qiangfu Zh Ao of prototypes. For example, in the learning vector quantization (LVQ) algorithms of Kohonen, a large www.u-aizu.ac.jp/~qf-zhao/CONTRIBUTION/IEEEpaper2.ps.Z An Adaptive Codebook Design Using the Branching Competitive.. - Xiong, King, Moon (2001) 2 Data Clustering By Competitive Learning Vector quantization is a problem of data clustering. www.cs.cuhk.hk/~king/PUB/ijcnn2001_450.pdf C4.5 Decision Forests - Tin Kam Ho one class (for instances, partitions by learning vector quantization [4] and nearest-neighbor matching www.ampl.com/who/tkh/papers/c45.ps.gz Supervised Learning for Automatic Classification of Documents .. - Goren-Bar, al. A closely related algorithm is the Learning Vector Quantization (LVQ)which uses supervised learning www.ercim.org/publication/ws-proceedings/DelNoe01/27_Kuflik.pdf A Comparision Of Different Multi- Interval Discretization.. - Trautzsch, Perner introduced: the first one is based on Learning Vector Quantization (LVQ) described by Kohonen [Koh95] and ftp.aifb.uni-karlsruhe.de/pub/mwi/trautzsch.ps.Z Bayes Risk Weighted VQ and Learning VQ - Richard Wesel And (1994) by Oehler et al.and Optimized Learning Vector Quantization 1 (OLVQ1) proposed by Kohonen et al. www.ee.ucla.edu/~wesel/documents/dcc94.ps A Learning Algorithm For Markov Decision Processes With.. - Baras, Borkar learning, Markov decision processes, learning vector quantization, stochastic approximation, dynamic aldebaran.elo.utfsm.cl/datasheet/cdc/cdc00/PDF/AUTHOR/CD001716.PDF Indirect Unsupervised Training of Backpropagation Nets - Seiffert, al. (1999) as well as Counterpropagation (CP) and Learning Vector Quantization (LVQ) 2]In contrast an unsupervised iesk.et.uni-magdeburg.de/~seiffert/Publications/sip99_seiffert.pdf -096 A Novel Hierarchical Data Mining Algorithm for.. - Kayvan Najarian Rizwan (2000) is inspired by an extension of the Learning Vector Quantization (LVQ) network called the www.iasted.com/conferences/2000/pittsburgh/308-abstracts/308-096.pdf Experimental study on the precision requirements of RBF.. - Vollmer, Strey (1999) of the learning set) of Optimized Learning Vector Quantization (OLVQ) were performed. During neuro.informatik.uni-ulm.de/ni/alfred/icann99.ps.gz The Constraint Based Decomposition (CBD) training architecture - Sorin Draghici State linear machine decision trees, CN2, learning vector quantization (LVQ)backpropagation, nearest www.cs.wayne.edu/~sod/paper7.pdf Bagged Clustering - Leisch (1999) bagging, bootstrap samples, k-means, learning vector quantization I. Introduction Clustering is an old www.ci.tuwien.ac.at/~leisch/docs/papers/wp51.ps.gz Controlling On-Line Adaptation of a Prototype-Based.. - Vuori, Laaksonen, Oja (2000) is based on a modified version of the Learning Vector Quantization (LVQ) 1]Depending on the classes of www.cis.hut.fi/~vuokkov/hcr/icpr2000.ps LVQ as a feature transformation for HMMs - Torkkola (1994) of the discriminative power of Learning Vector Quantization in combination with continuous density members.home.net/torkkola/sp_papers/torkkola_nnsp94.ps.gz On Global Self-Organizing Maps. - Wodzisaw Duch And (1996) processes should use LVQ (Learning Vector Quantization) instead of SOM.Nevertheless the www.phys.uni.torun.pl/publications/kmk/som-mds.ps.gz High Speed and High Accuracy Rough Classification for.. - Yuji Waizumi Student Characters Using Hierarchical Learning Vector Quantization #Yuji WAIZUMI Student Member, search.ieice.org/2000/files/../pdf/e83-d_6_1282.pdf Seismic Events Discrimination Using a New FLVQ Clustering Model - Payam Nassery Karim SUMMARY In thispi er, the LVQ (Learning Vector Quantization) model and its variants are regarded search.ieice.org/2000/files/../pdf/e83-d_7_1533.pdf Practical Design Methodology for Commercial Automatic Coin.. - Juan Manuel Moreno [Werbos, 1974] learning algorithm, the Learning Vector Quantization (LVQ) Kohonen, 1990] models, the petrus.upc.es/pub/grups/ftpdmic/neuronal/publications/iconip97.pdf Unsupervised image segmentation with the self-organizing map.. - Iivarinen, Visa classication method based on a SOM, a learning vector quantization, and the co-occurrence matrix. The www.cis.hut.fi/~jucca/paper/publications/./spie98_2.ps.gz CNeT: Competitive Neural Trees for Pattern Classification - Behnke, Karayiannis (1996) that employed by the (unlabeled data) learning vector quantization (LVQ)an unsupervised learning www.inf.fu-berlin.de/~behnke/papers/icnn96.ps.gz A Note on Learning Vector Quantization - de Sa, al. (1993) CA: Morgan Kaufmann. A Note on Learning Vector Quantization Virginia R. de Sa Department of keck.ucsf.edu/pub/desa/nips92.ps Non-Hierarchical Clustering with Rival Penalized Competitive.. - Irwin King And extension of Kohonen's supervised learning vector quantization algorithm LVQ2 [9]It can also be www.cse.cuhk.edu.hk/~king/PUB/mldm99_2.pdf A Scalable Bit-Sequential SIMD Array for Nearest-Neighbor.. - Neschen as during the learning phase in LVQ (Learning Vector Quantization"3] or the "k-means" method [4]the www.zpr.uni-koeln.de/~neschen/asap94.ps.gz Search and global minimization in similarity-based methods. - Duch, Grudzinski (1999) (RBFs)Multilayer Perceptrons (MLPs)Learning Vector Quantization (LVQ)may be presented in this form. www.phys.uni.torun.pl/publications/kmk/99ijcnkn.pdf An Integrated Framework For Generalized Nearest Prototype.. - Kuncheva, Bezdek radial basis functions (RBF) networks learning vector quantization (LVQ) type classi ers and nearest www.bangor.ac.uk/~mas00a/papers/lkufkbs.ps.gz On the Performance of the HONG Network for Pattern.. - Atukorale, Suganthan.. (2000) the labeled network, the supervised learning vector quantization (LVQ) algorithm [8] is applied. The www.elec.uq.edu.au/~ajantha/papers/IJCNN-00.ps.gz Bundling Heterogeneous Classifiers with Advisor Perceptrons - Lee, IV (1997) network, projection pursuit regression, learning vector quantization, logistic regression 2 1 www.datamininglab.com/pubs/lee_elder_97.pdf A Gradient Descent Training Algorithm for VQ Classification - Ulug, Ahalt Discriminant Machine, Gradient Descent, Learning Vector Quantization. y This research was supported by the eewww.eng.ohio-state.edu/~ulugb/subpages/UA99.ps.gz Neural Network Classifiers for Optical Chinese Character.. - Richard Romero Robert (1995) using the new feature space, Kohonen's Learning Vector Quantization and Geva and Sitte's Decision Surface www.ri.cmu.edu/pub_files/pub1/romero_richard_1995_1/romero_richard_1995_1.ps.gz Driver-Adaptive Warning - System Prepared Honeywell yaw)Using another adaptive technique (learning vector quantization) on the relative heading data, and www.itsdocs.fhwa.dot.gov/jpodocs/repts_te/36001!.pdf Data Compression And Statistical Inference - Strasser or a stochastic gradient method called learning vector quantization (LVQ, sometimes called Lloyd's matrix.wu-wien.ac.at/homepage/download/sfb/compression.pdf Feature extractor giving distortion invariant hierarchical.. - Lampinen (1991) neural network classifiers, like learning vector quantization, LVQ, 10] and multilayer perceptron, www.lce.hut.fi/publications/ps/Lampinen_SPIE-91.ps Fast associative mapping with look-up tables - Lampinen, Smolander (1995) by any supervised network, like the learning vector quantization LVQ [2] in classification problems or www.lce.hut.fi/publications/ps/Lampinen_ICANN-95.ps Wood Defect Recognition With Self-Organizing Feature Selection - Lampinen, Smolander (1994) Radial Basis Function network, or the Learning Vector Quantization, LVQ, network. Together with their www.lce.hut.fi/publications/ps/Lampinen_SPIE-94.ps Combined Compression and Classification with Learning Vector.. - Baras, Dey (1999) Compression and Classification with Learning Vector Quantization John S. Baras y Subhrakanti Dey syseng.anu.edu.au/~subhra/clvq.ps Directory: pub -> docs -> vonzuben pub -> Asilomar Conference on Circuits, Systems & Computers, Pacific Grove, ca, November 1978, pp. 55 58 pub -> Forthcoming meetings and conferences pub -> Harmonised compatibility and sharing conditions for video pmse in the 7 9 ghz frequency band, taking into account radar use docs -> A dragon in the tube vonzuben -> Revisão bibliográfica redes neurais recorrentes vonzuben -> Revisão Bibliográfica: Autômatos Celulares docs -> Updated March 2017 Registration Quick Reference Card for Employees/Associates Download 488.92 Kb. Share with your friends:
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