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» Aggregation-based model reduction of a Hidden Markov Model
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BMCBI
2007
135views more  BMCBI 2007»
15 years 4 months ago
Sequence similarity is more relevant than species specificity in probabilistic backtranslation
Background: Backtranslation is the process of decoding a sequence of amino acids into the corresponding codons. All synthetic gene design systems include a backtranslation module....
Alfredo Ferro, Rosalba Giugno, Giuseppe Pigola, Al...
CSL
2007
Springer
15 years 4 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
ICIP
2007
IEEE
16 years 6 months ago
A HMM-Based Method for Recognizing Dynamic Video Contents from Trajectories
This paper describes an original method for classifying object motion trajectories in video sequences in order to recognize dynamic events. Similarities between trajectories are e...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
ICMCS
2006
IEEE
128views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Efficient Recognition of Authentic Dynamic Facial Expressions on the Feedtum Database
In order to allow for fast recognition of a user’s affective state we discuss innovative holistic and self organizing approaches for efficient facial expression analysis. The f...
Frank Wallhoff, Björn Schuller, Michael Hawel...
NN
2002
Springer
137views Neural Networks» more  NN 2002»
15 years 4 months ago
Acetylcholine in cortical inference
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
Angela J. Yu, Peter Dayan