1183 search results - page 80 / 237 » Learning Process Models with Missing Data |
121
Voted
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
121
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HRI
2007
ACM
15 years 5 months ago
2007
ACM
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
131
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
131
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ACL
2012
13 years 3 months ago
2012
Sentence Similarity is the process of computing a similarity score between two sentences. Previous sentence similarity work finds that latent semantics approaches to the problem ...
118
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ICIP
2006
IEEE
15 years 7 months ago
2006
IEEE
This paper analyzes the movements of the human body limbs (hands, feet and head) and center of gravity in order to detect simple actions such as walking, jumping and displacing an...