883 search results - page 121 / 177 » Unsupervised learning in neural computation |
PRIB
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
ICARCV
2006
IEEE
14 years 3 months ago
2006
IEEE
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
SSPR
2004
Springer
14 years 3 months ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
SAC
2006
ACM
14 years 3 months ago
2006
ACM
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
UC
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Dynamical structure in the brain promotes biological function. Natural scientists look for correlations between measured electrical signals and behavior or mental states....