70 search results - page 2 / 14 » Learning Diagram Parts with Hidden Random Fields |
127
Voted
CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Object recognition is challenging due to high intra-class
variability caused, e.g., by articulation, viewpoint changes,
and partial occlusion. Successful methods need to strike a...
149
Voted
ATAL
2007
Springer
15 years 9 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...
145
Voted
INTERSPEECH
2010
14 years 10 months ago
2010
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
136
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
119
Voted
ECAI
2006
Springer
15 years 7 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...