38 search results - page 6 / 8 » Deep-structured hidden conditional random fields for phoneti... |
101
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CVIU
2006
14 years 10 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
107
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ICML
2003
IEEE
15 years 11 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
ICMCS
2007
IEEE
15 years 4 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...