458 search results - page 16 / 92 » Neural conditional random fields |
118
Voted
ICIP
2010
IEEE
15 years 9 days ago
2010
IEEE
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
137
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ATAL
2007
Springer
15 years 8 months ago
2007
Springer
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
119
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ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
129
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
114
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...