Revisão Bibliográfica: Learning Vector Quantization 28/04/2003
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or other localized functions, or the Learning Vector Quantization (LVQ) method based on optimization of www.phys.uni.torun.pl/publications/kmk/99cim-l.ps.gz Stability Study of Some Neural Networks Applied to .. - Stocker, Sipila.. final classification was achieved using Learning Vector Quantization [5]The main advantage of the ftp.ini.unizh.ch/pub/alan/papers/ICPR96.ps.gz Combining Classifiers Based on Confidence Values - Atukorale, Suganthan (1999) network, we applied the supervised learning vector quantization (LVQ) algorithm [4]Then we obtained www.elec.uq.edu.au/~ajantha/papers/ICDAR-99.ps.gz A natural object recognition system using Self-organizing.. - Danny Roobaert Marc classes. The weights are formed by 'Learning Vector Quantization' LVQ) 9]4 Simulations We have www.nada.kth.se/~roobaert/art/snn95.ps.gz Square-Error Clustering Scheme and Clustering Networks - Byoung-Ho Kang Doo-Seoung Pal et al. 5] proposed a generalized learning vector quantization (GLVQ) algorithm and compared it with garfield.etri.re.kr/~jhyoo/jhyoo/docs/iizuka2.ps.gz Pattern Recognition using Optimized Prototypes - Hong Yan Department (1994) reduction of prototypes [1]In the learning vector quantization (LVQ) algorithm, the prototypes can be jisp.cs.nyu.edu/RWC/rwcp/papers/1994/A-07_019.ps.gz A Virtual Test-Bench for Analog Circuit.. - Chakrabarty.. (1998) Energy (RCE) Neural Networks, and (2) Learning Vector Quantization (LVQ)Whereas the output of the www.eng2.uconn.edu/~rajan/paper_autotestcon98.ps.gz Speeding up Generalized Learning Vector Quantization - Kang, Yoo, Kang Speeding up Generalized Learning Vector Quantization Byoung-Ho Kang, Jang-Hee Yoo, and garfield.etri.re.kr/~jhyoo/jhyoo/docs/iconip.ps.gz Machine Learning Algorithms for Fault Diagnosis in Analog Circuits - Vivek Rajan Energy (RCE) Neural Network, and (2) Learning Vector Quantization (LVQ)The RCE and LVQ models excel at www.eng2.uconn.edu/~rajan/smc98.ps.gz An Efficient Recursive Partitioning Algorithm for.. - Castelli, Kontoyiannis (1999) of CART [3]nearest neighbor [7]learning vector quantization, maximum likelihood and neural network www.stat.purdue.edu/people/yiannis/PAPERS/class.ps.gz Developments and Applications of the Self-Organizing Map and.. - Jari Kangas a supervised learning algorithm, the Learning Vector Quantization (LVQ) are explained. Some practical www.cis.hut.fi/~jari/papers/imacs96.ps.Z Assessment of ground reaction force patterns for human.. - Köhle, Merkl, Kastner The employed classification approach is learning vector quantization which proved to be highly robust in ftp.ifs.tuwien.ac.at/pub/publications/eann97g.ps.Z Alpha-Trimmed Mean Radial Basis Functions And Their Application .. - Bors, Pitas (1997) training algorithm relies on the learning vector quantization [1]This learning algorithm poseidon.csd.auth.gr/papers/PUBLISHED/CONFERENCE/Bors97e/Bors97e.ps.Z Growing Cell Structure And Neural Gas - Incremental Neural.. - Kunze, Steffens (1995) the input vectors is one objective of learning vector quantization and the Kohonen feature map 3 The tau.ep1.ruhr-uni-bochum.de/pub/marcel/GCS.ps.Z Learning Vector Quantization with Training Count (LVQTC) - Odorico (1995) E-mail: odorico@bo.infn.it DFUB 95/20 Learning Vector Quantization with Training Count (LVQTC) www.bo.infn.it/preprint/odorico/dfub9520_lvqtcnn.ps Cours IFT6265, Algorithmes de - Clustering Algorithme Kohonen et al.1988, Kohonen, 1989]learning vector quantization) est une version stochastique de www.iro.umontreal.ca/~bengioy/ift6266/cluster/cluster.ps Simplexes, Multi-Dimensional Scaling and Self-Organized Mapping - Wlodzislaw, Antoine (1996) processes should use LVQ (Learning Vector Quantization) instead of SOM.Despite this warning www.phys.uni.torun.pl/publications/kmk/simplex.ps.gz Noise Sensitivity Of Static Neural Network Classifiers - Beck, Ghosh group of neural-like schemes such as Learning Vector Quantization (LVQ) have also received considerable ftp.lans.ece.utexas.edu/pub/papers/noise_spie92.ps.Z Analysis Of LVQ In The Context Of Spontaneous EEG Signal.. - Ford (1996) Spontaneous Eeg Signal Classification Learning Vector Quantization (lvq) Has Proven To Be An Effective www.cs.colostate.edu/~anderson/pubs/ford-ms.ps.Z Improving Short-Time Speech Frame Recognition.. - Torkkola, Kokkonen, .. (1991) methods of Kohonen, especially on the Learning Vector Quantization (LVQ) 6]The aim of vector www.cis.hut.fi/~mikkok/torkkola.eurospeech91.ps.gz Corrective Tuning By Applying Lvq For Continuous Density And.. - Kurimo and updation rules resembling the Learning Vector Quantization (LVQ) 4] are obtained. In this paper www.cis.hut.fi/~mikkok/issipn94.ps.gz Self Organization in Mixture Densities of HMM based Speech.. - Mikko Kurimo to apply SelfOrganizing Map (SOM) and Learning Vector Quantization (LVQ) for training mixture density www.cis.hut.fi/~mikkok/esann98.ps.gz Bibliography of Self-Organizing Map (SOM) Papers: 1981--1997 - Samuel Kaskiy and exploration. The variant called Learning Vector Quantization (LVQ) has additionally been used ftp.icsi.berkeley.edu/pub/ai/jagota/vol1_4.ps.gz A Maximum Entropy Approach For Optimal Statistical.. - Miller, Rao, Rose, Gersho substantial performance gains over learning vector quantization are achieved for complicated mixture rainbow.ece.ucsb.edu/current/ajit/papers/nnsp95.ps Rhythm detection in ECG signals - Kristiansen, Husøy.. the ECG, that are used as inputs to the learning vector quantization (LVQ) classication algorithm, www.ux.his.no/sigproc/www/norsig/norsig95/papers/kristiansen.ps.gz Experiments in Gait Pattern Classification with Neural.. - Köhle, Merkl was continued in [6] where we used Learning Vector Quantization [8] for gait pattern classification. ftp.ifs.tuwien.ac.at/pub/publications/icann98-gait.ps.Z Hybrid training method for tied mixture density hidden Markov.. - Kurimo density hidden Markov models using Learning Vector Quantization and Viterbi estimation Mikko Kurimo www.cis.hut.fi/~mikkok/nnsp94.ps.gz A Comparison Of The Lbg, Lvq, Mlp, Som And Gmm.. - Togneri.. (1992) the Self-Organising Map (SOM) and Learning Vector Quantization (LVQ) algorithms of Kohonen, the ciips.ee.uwa.edu.au/Papers/Conference_Papers/1992/02/cp92-02.ps.gz Adaptive Combination of PCA and VQ Networks - Weingessel, Bischof, Hornik.. (1997) which also perform clustering, e.g.Learning Vector Quantization, Competitive Learning, Selforganizing www.ci.tuwien.ac.at/~weingessel/docs/papers/Weingessel+Bischof+Hornik+Leisch:1997.ps.gz Management of Distributed Information Repositories - Andreas Rauber Classifiers, K-Means algorithms, Learning Vector Quantization (LVQ) or Self-Organizing Maps, to name www.ifs.tuwien.ac.at/ifs/research/pub_ps/rau_caise98.ps.gz Cyclostationary And Higher-Order Statistical Signal Processing.. - McCormick (1998) . 19 2.2.3 Learning Vector Quantization .20 www.spd.eee.strath.ac.uk/~andy/thesis.ps.gz Hybrid training method for tied mixture density hidden Markov.. - Kurimo density hidden Markov models using Learning Vector Quantization and Viterbi estimation Mikko Kurimo www.cis.hut.fi/~mikkok/nnsp94.ps.gz A Comparison Of The Lbg, Lvq, Mlp, Som And Gmm.. - Togneri.. (1992) the Self-Organising Map (SOM) and Learning Vector Quantization (LVQ) algorithms of Kohonen, the ciips.ee.uwa.edu.au/Papers/Conference_Papers/1992/02/cp92-02.ps.gz Adaptive Combination of PCA and VQ Networks - Weingessel, Bischof, Hornik.. (1997) which also perform clustering, e.g.Learning Vector Quantization, Competitive Learning, Selforganizing www.ci.tuwien.ac.at/~weingessel/docs/papers/Weingessel+Bischof+Hornik+Leisch:1997.ps.gz Management of Distributed Information Repositories - Andreas Rauber Classifiers, K-Means algorithms, Learning Vector Quantization (LVQ) or Self-Organizing Maps, to name www.ifs.tuwien.ac.at/ifs/research/pub_ps/rau_caise98.ps.gz Cyclostationary And Higher-Order Statistical Signal Processing.. - McCormick (1998) . 19 2.2.3 Learning Vector Quantization .20 www.spd.eee.strath.ac.uk/~andy/thesis.ps.gz Combining LVQ with continuous density hidden Markov models.. - Kurimo, Torkkola use of Self-Organizing Maps (SOMs) and Learning Vector Quantization (LVQ) 5] as an initialization method www.cis.hut.fi/~mikkok/spie92.ps.gz Feature Extraction and Learning Vector Quantization for Data.. - Goller, Gori (1999) Reasoning Feature Extraction and Learning Vector Quantization for Data Structures Report AR-99-02 wwwjessen.informatik.tu-muenchen.de/~goller/PAPERS/soco99.ps.gz Towards collaborative agents for automatic on-line.. - Schomaker, Hoenkamp.. on the system by using the Kohonen Learning Vector Quantization algorithm[8]The templates consisted ftp.nici.kun.nl/pub/nici/papers/schomaker/agar-hwr2.ps.gz Connectionist Models In Multimodal Human-Computer Interaction - Waibel, Duchunowski Time Delay Neural Networks (TDNN)Learning Vector Quantization-2 (LVQ-2) and Hidden Markov Model werner.ira.uka.de/papers/multimodal/94.gomac.ps.gz Supervised Competitive Learning - Fuller, Jr., Kimura (1994) maps in general [Kohonen 1982]and Learning Vector Quantization in particular [Kohonen 1988, 1990] ftp.cs.cuhk.hk/pub/neuro/papers/fuller.scl.ps.gz Clinical Gait Analysis by Neural Networks: Issues and.. - Köhle, Merkl, Kastner (1997) The employed classification approach is learning vector quantization which proved to be highly robust in ftp.ifs.tuwien.ac.at/pub/publications/cbms97.ps.Z Nearest Neighbor Classification with a Local Asymmetrically.. - Ricci, Avesani (1996) used in competitive learning [31] or learning vector quantization [14]But, while in the majority of mnemosyne.itc.it:1024/ricci/papers/tech-rep-9602-01.ps An Adaptive WTA using Floating Gate Technology - Kruger, Hasler, Minch, Koch neural nets that involve competitive learning, vector quantization and feature mapping. The classic WTA www.pcmp.caltech.edu/anaprose/paul/anamem/auto_wta1_new1.ps.gz Exact Learning and Data Compression with a Local.. - Ricci, Avesani learning [Xu et al.1993 ]or learning vector quantization [Kohonen,1990 ]But, while in the www.ai.univie.ac.at/icml_ws/ricci.ps.Z Reevaluation of the Significance of Sequence Information for .. - Sarukkai, Ballard of discretizing speech parameters is by learning vector quantization (LVQ)5] 2 As a first step towards ftp.cs.rochester.edu/pub/papers/ai/94.tr555.Reevaluation_of_the_significance_of_sequence_information.ps.gz Land-Use Classification Using Multitemporal Radarsat, Ers-1.. - Törmä, Koskinen classification, Markov random field, learning vector quantization ABSTRACT Land-use classification was foto.hut.fi/~markus/Publications/isprs98.ps.gz Land-Use Classification Using Multitemporal Ers-1, Radarsat.. - Törmä, Koskinen using self-organizing feature map and learning vector quantization. Contextual classification was foto.hut.fi/~markus/Publications/igarss98.ps.gz Adaptive Autoregressive Parameters For A.. - Schlögl, Lugger.. (1997) by an artificial neural net based on Learning vector quantization. The power of pre-selected frequency www-dpmi.tu-graz.ac.at/~schloegl/publications/slp.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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