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» Objective Functions for Feature Discrimination
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98
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BMCBI
2005
87views more  BMCBI 2005»
15 years 12 days ago
ProfNet, a method to derive profile-profile alignment scoring functions that improves the alignments of distantly related protei
Background: Profile-profile methods have been used for some years now to detect and align homologous proteins. The best such methods use information from the background distributi...
Tomas Ohlson, Arne Elofsson
80
Voted
CVPR
2003
IEEE
16 years 2 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
93
Voted
MMM
2007
Springer
110views Multimedia» more  MMM 2007»
15 years 6 months ago
An Object Tracking Scheme Based on Local Density
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...
Zhuan Qing Huang, Zhuhan Jiang
CVPR
2011
IEEE
14 years 8 months ago
Scalable Multi-class Object Detection
Scalability of object detectors with respect to the number of classes is a very important issue for applications where many object classes need to be detected. While combining sin...
Nima Razavi, Juergen Gall, Luc VanGool
137
Voted
CVPR
2009
IEEE
16 years 7 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...