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PAMI
2011
14 years 8 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
FOSSACS
2008
Springer
15 years 6 months ago
Beyond Rank 1: Algebraic Semantics and Finite Models for Coalgebraic Logics
Coalgebras provide a uniform framework for the semantics of a large class of (mostly non-normal) modal logics, including e.g. monotone modal logic, probabilistic and graded modal l...
Dirk Pattinson, Lutz Schröder
ICMCS
2009
IEEE
159views Multimedia» more  ICMCS 2009»
15 years 2 months ago
Acoustic modeling using an extended phone set considering cross-lingual pronunciation variations
To deal with the issue of data unbalanced condition among a task of multilingual speech recognition and a phenomenon of pronunciation variations across languages, we propose an ap...
Dau-Cheng Lyu, Ren-Yuan Lyu, Ming-Tat Ko
136
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INTERSPEECH
2010
14 years 12 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
156
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FS
2011
168views more  FS 2011»
14 years 8 months ago
Gamma expansion of the Heston stochastic volatility model
Abstract We derive an explicit representation of the transitions of the Heston stochastic volatility model and use it for fast and accurate simulation of the model. Of particular i...
Paul Glasserman, Kyoung-Kuk Kim