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CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 9 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
HUMO
2007
Springer
15 years 3 months ago
Boosted Multiple Deformable Trees for Parsing Human Poses
Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture additiona...
Yang Wang 0003, Greg Mori
CVIU
2008
124views more  CVIU 2008»
14 years 9 months ago
Measuring novelty and redundancy with multiple modalities in cross-lingual broadcast news
News videos from different channels, languages are broadcast everyday, which provide abundant information for users. To effectively search, retrieve, browse and track news stories...
Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo
ER
2007
Springer
108views Database» more  ER 2007»
15 years 4 months ago
Reasoning over Extended ER Models
Abstract. We investigate the computational complexity of reasoning over various fragments of the Extended Entity-Relationship (EER) language, which includes a number of constructs:...
Alessandro Artale, Diego Calvanese, Roman Kontchak...
OTM
2010
Springer
14 years 8 months ago
A Context-Based Model for the Interpretation of Polysemous Terms
The problem of polysemy involves having terms, such as “truck”, that refer to multiple concepts in different contexts; and conversely, having the same concept referred to with...
Chrisa Tsinaraki, Yannis Velegrakis, Nadzeya Kiyav...