320 search results - page 56 / 64 » Using Conditional Random Fields for Decision-Theoretic Plann... |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
The goal of this work is to find all people in archive films. Challenges include low image quality, motion blur, partial occlusion, non-standard poses and crowded scenes. We base ...
103
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ICML
2003
IEEE
15 years 10 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...
108
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...