4 search results - page 1 / 1 » Kernel conditional random fields: representation and clique ... |
89
Voted
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
IJCV
2008
14 years 9 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
81
Voted
AAMAS
2010
Springer
14 years 9 months ago
2010
Springer
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...