233 search results - page 26 / 47 » Probabilistic Modeling for Structural Change Inference |
CSE
2009
IEEE
15 years 4 months ago
2009
IEEE
—We describe a semantic imitation model of social tagging that integrates formal representations of semantics and a stochastic tag choice process to explain and predict emergent ...
AAAI
2008
14 years 12 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
CVPR
2007
IEEE
15 years 11 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...
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Voted
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
NIPS
2004
14 years 11 months ago
2004
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...