126 search results - page 11 / 26 » Automatic feature selection in the markov random field model... |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
IJCV
2008
13 years 7 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...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
A fundamental problem in peer-to-peer networks is how to locate appropriate peers efficiently to answer a specific query request. This paper proposes a model in which semantically...
ICMCS
2007
IEEE
14 years 1 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...