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» The Use of Classifiers in Sequential Inference
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JMLR
2010
137views more  JMLR 2010»
13 years 3 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
ICCV
2007
IEEE
14 years 10 months ago
Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets
For many multi-part object classes, the set of parts can vary not only in location but also in type. For example, player formations in American football involve various subsets of...
Robin Hess, Alan Fern, Eric N. Mortensen
AAAI
1996
13 years 10 months ago
Closed Terminologies in Description Logics
We introduce a predictive concept recognition methodology for description logics based on a new closed terminology assumption. During knowledge engineering, our system adopts the ...
Robert A. Weida
WWW
2009
ACM
14 years 9 months ago
Purely URL-based topic classification
Given only the URL of a web page, can we identify its topic? This is the question that we examine in this paper. Usually, web pages are classified using their content [7], but a U...
Eda Baykan, Monika Rauch Henzinger, Ludmila Marian...
FGR
2006
IEEE
263views Biometrics» more  FGR 2006»
14 years 2 months ago
Robust Head Tracking Based on a Multi-State Particle Filter
This paper proposes a novel method for robust and automatic realtime head tracking by fusing face and head cues within a multi-state particle filter. Due to large appearance vari...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao