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» Image Distance Using Hidden Markov Models
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JMLR
2010
202views more  JMLR 2010»
13 years 2 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
SSPR
2004
Springer
14 years 1 months ago
Automatic Labeling of Sports Video Using Umpire Gesture Recognition
We present results on an extension to our approach for automatic sports video annotation. Sports video is augmented with accelerometer data from wrist bands worn by umpires in the ...
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. ...
ANLP
1997
86views more  ANLP 1997»
13 years 9 months ago
Nymble: a High-Performance Learning Name-finder
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...
Daniel M. Bikel, Scott Miller, Richard M. Schwartz...
ICASSP
2010
IEEE
13 years 8 months ago
Framework for cross-language automatic phonetic segmentation
Annotation of large multilingual corpora remains a challenge to the data-driven approach to speech research, especially for under-resourced languages. This paper presents crosslan...
Udochukwu Kalu Ogbureke, Julie Carson-Berndsen
ICDAR
2011
IEEE
12 years 7 months ago
HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents
—For historical documents, available transcriptions typically are inaccurate when compared with the scanned document images. Not only the position of the words and sentences are ...
Andreas Fischer, Emanuel Indermühle, Volkmar ...