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» Using Random Forests in the Structured Language Model
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CVPR
2007
IEEE
14 years 10 months ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal
ECCV
2006
Springer
14 years 10 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
GFKL
2004
Springer
107views Data Mining» more  GFKL 2004»
14 years 2 months ago
Hierarchical Mixture Models for Nested Data Structures
A hierarchical extension of the finite mixture model is presented that can be used for the analysis of nested data structures. The model permits a simultaneous model-based cluster...
Jeroen K. Vermunt, Jay Magidson
ECOOP
2007
Springer
14 years 18 days ago
Efficiently Generating Structurally Complex Inputs with Thousands of Objects
Abstract. We present Shekoosh, a novel framework for constraint-based generation of structurally complex inputs of large sizes. Given a Java predicate that represents the desired s...
Bassem Elkarablieh, Yehia Zayour, Sarfraz Khurshid
CEC
2008
IEEE
14 years 3 months ago
Conventionalization of linguistic categories under simple communicative constraints
—The language game approach is widely adopted to study conventionalization of linguistic knowledge. Most of contemporary models concentrate on the dynamics of language games in r...
Tao Gong, Andrea Puglisi, Vittorio Loreto, William...