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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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IJON
2008
101views more  IJON 2008»
13 years 8 months ago
Learning dynamics and robustness of vector quantization and neural gas
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...
Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbar...
HICSS
2002
IEEE
89views Biometrics» more  HICSS 2002»
14 years 28 days ago
Nash Strategies for Load Serving Entities in Dynamic Energy Multi-markets
In this paper the problem of developing bidding strategies for the participants of dynamic energy-multi markets is studied. Attention is given to strategic bidding of load serving...
Jose B. Cruz Jr., Ashkan Kian
ICPR
2006
IEEE
14 years 9 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
CORR
2008
Springer
189views Education» more  CORR 2008»
13 years 8 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
TASLP
2010
126views more  TASLP 2010»
13 years 6 months ago
Modeling Music as a Dynamic Texture
—We consider representing a short temporal fragment of musical audio as a dynamic texture, a model of both the timbral and rhythmical qualities of sound, two of the important asp...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...