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» Improving Difference Operators by Local Feature Detection
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ICCV
2005
IEEE
14 years 1 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
DSN
2008
IEEE
14 years 2 months ago
Improving dependability of network configuration through policy classification
As a network evolves over time, multiple operators modify its configuration, without fully considering what has previously been done. Similar policies are defined more than once, ...
Sihyung Lee, Tina Wong, Hyong S. Kim
PAMI
2008
152views more  PAMI 2008»
13 years 8 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
IPMI
2003
Springer
14 years 9 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...
ICIP
2007
IEEE
14 years 2 months ago
Lifting-Based Directional DCT-Like Transform for Image Coding
Traditional 2D DCT implemented by separable 1D transform in horizontal and vertical directions does not take image orientation features in a local window into account. To improve ...
Hao Xu, Jizheng Xu, Feng Wu