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NIPS
2008
15 years 8 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
PAMI
2008
152views more  PAMI 2008»
15 years 6 months ago
Class-Based Feature Matching Across Unrestricted Transformations
We develop a novel method for class-based feature matching across large changes in viewing conditions. The method (called MBE) is based on the property that when objects share a si...
Evgeniy Bart, Shimon Ullman
CVPR
2004
IEEE
16 years 8 months ago
Probabilistic Identity Characterization for Face Recognition
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...
Shaohua Kevin Zhou, Rama Chellappa
175
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ICCV
2007
IEEE
16 years 8 months ago
Efficient Mining of Frequent and Distinctive Feature Configurations
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background....
Till Quack, Vittorio Ferrari, Bastian Leibe, Luc J...
ICCV
1998
IEEE
16 years 8 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg