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ICML
2007
IEEE
14 years 9 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
ICML
2008
IEEE
14 years 9 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
ALT
2008
Springer
14 years 5 months ago
Learning with Temporary Memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
Steffen Lange, Samuel E. Moelius, Sandra Zilles
CVPR
2010
IEEE
1639views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Multi-Target Tracking of Time-varying Spatial Patterns
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
Jingchen Liu, Yanxi Liu
ICML
2009
IEEE
14 years 3 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...