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ICPR
2006
IEEE
14 years 9 months ago
The Generalized Condensed Nearest Neighbor Rule as A Data Reduction Method
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...
Bo-Han Kuo, Chien-Hsing Chou, Fu Chang
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
12 years 11 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
ECCV
2008
Springer
14 years 10 months ago
Solving Image Registration Problems Using Interior Point Methods
Abstract. This paper describes a novel approach to recovering a parametric deformation that optimally registers one image to another. The method proceeds by constructing a global c...
Camillo J. Taylor, Arvind Bhusnurmath
EMMCVPR
1997
Springer
14 years 24 days ago
An Energy Minimization Method for Matching and Comparing Structured Object Representations
We present a general method for matching segmented parts of objects by energy minimization. The energy is designed in order to cope with possible imperfections of the compared segm...
Robert Azencott, Laurent Younes
CVPR
2008
IEEE
14 years 10 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye