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IJCV
2006
161views more  IJCV 2006»
13 years 9 months ago
Discriminative Random Fields
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
Sanjiv Kumar, Martial Hebert
ICCV
2003
IEEE
14 years 11 months ago
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
Sanjiv Kumar, Martial Hebert
ECCV
2008
Springer
14 years 11 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 11 months ago
Extracting Objects from the Web
Extracting and integrating object information from the Web is of great significance for Web data management. The existing Web information extraction techniques cannot provide sati...
Zaiqing Nie, Fei Wu, Ji-Rong Wen, Wei-Ying Ma
CVPR
2008
IEEE
14 years 12 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
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...
Vidit Jain, Amit Singhal, Jiebo Luo