235 search results - page 39 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
BIBM
2008
IEEE
15 years 6 months ago
2008
IEEE
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
98
Voted
NIPS
2004
15 years 1 months ago
2004
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
89
Voted
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
105
Voted
JMLR
2012
13 years 2 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...