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» Markov Random Field Modeling in Computer Vision
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ICML
2007
IEEE
14 years 10 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
ICDAR
2011
IEEE
12 years 8 months ago
A Novel Italic Detection and Rectification Method for Chinese Advertising Images
—The italic detection and slant rectification is a key step of optical character recognition (OCR). In this paper, a novel method is proposed to detect and rectify italic charact...
Jie Liu, Heping Li, Shuwu Zhang, Wei Liang
CVPR
2007
IEEE
14 years 11 months ago
Contextual Identity Recognition in Personal Photo Albums
We present an efficient probabilistic method for identity recognition in personal photo albums. Personal photos are usually taken under uncontrolled conditions ? the captured face...
Dragomir Anguelov, Kuang-chih Lee, Salih Burak G&o...
ICCV
2011
IEEE
12 years 9 months ago
Understanding Scenes on Many Levels
This paper presents a framework for image parsing with multiple label sets. For example, we may want to simultaneously label every image region according to its basiclevel object ...
Joseph Tighe, Svetlana Lazebnik
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
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...
Dong Zhang, Samy Bengio