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» Mining Trajectory Patterns Using Hidden Markov Models
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ICIP
1999
IEEE
15 years 11 months ago
Color Documents on the Web with DJVU
We present a new image compression technique called DjVu" that is speci cally geared towards the compression of scanned documents in color at high resolution. With DjVu, a ma...
Bill Riemers, Léon Bottou, Pascal Vincent, ...
FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
15 years 2 months ago
Clustering Contextual Facial Display Sequences
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
Jesse Hoey
ISMB
1998
14 years 11 months ago
Computational Applications of DNA Structural Scales
We study from a computational standpoint several different physicalscales associatedwith structural features of DNA sequences, including dinucleotide scales such as base stacking ...
Pierre Baldi, Søren Brunak, Yves Chauvin, A...
ICPR
2006
IEEE
15 years 11 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
ICASSP
2008
IEEE
15 years 4 months ago
Impact of automatic sentence segmentation on meeting summarization
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Yang Liu, Shasha Xie