Sciweavers

144 search results - page 13 / 29
» Probabilistic models for discovering e-communities
Sort
View
CVPR
2010
IEEE
14 years 4 months ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Modeling Interactions from Email Communication
Email plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pa...
Dong Zhang, Daniel Gatica-Perez, Deb Roy, Samy Ben...
CVPR
2006
IEEE
14 years 10 months ago
Modeling and Classifying Breast Tissue Density in Mammograms
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...
Anna Bosch, Arnau Oliver, Joan Martí, Xavie...
CEC
2009
IEEE
14 years 3 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
FLAIRS
2007
13 years 11 months ago
A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models
Discovery of graphical models is NP-hard in general, which justifies using heuristics. We consider four commonly used heuristics. We summarize the underlying assumptions and anal...
Yang Xiang