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» Learning Probabilistic Models of Relational Structure
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133
Voted
MM
2005
ACM
140views Multimedia» more  MM 2005»
15 years 8 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
169
Voted
CVPR
1998
IEEE
16 years 4 months ago
An Optimized Interaction Strategy for Bayesian Relevance Feedback
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. It represents a new image display strategy for the PicHunter system [2, 1]....
Ingemar J. Cox, Matthew L. Miller, Thomas P. Minka...
146
Voted
FLAIRS
2008
15 years 5 months ago
Toward Markov Logic with Conditional Probabilities
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
Jens Fisseler
109
Voted
NAACL
2010
15 years 19 days ago
Context-free reordering, finite-state translation
We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finitestate translation model. The forest structur...
Christopher Dyer, Philip Resnik
130
Voted
SAT
2007
Springer
81views Hardware» more  SAT 2007»
15 years 8 months ago
Short XORs for Model Counting: From Theory to Practice
Abstract. A promising approach for model counting was recently introduced, which in theory requires the use of large random xor or parity constraints to obtain near-exact counts of...
Carla P. Gomes, Jörg Hoffmann, Ashish Sabharw...