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131
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DIS
2009
Springer
15 years 10 months ago
Linear Programming Boosting by Column and Row Generation
Abstract. We propose a new boosting algorithm based on a linear programming formulation. Our algorithm can take advantage of the sparsity of the solution of the underlying optimiza...
Kohei Hatano, Eiji Takimoto
135
Voted
TWC
2008
158views more  TWC 2008»
15 years 3 months ago
Solving Box-Constrained Integer Least Squares Problems
A box-constrained integer least squares problem (BILS) arises from several wireless communications applications. Solving a BILS problem usually has two stages: reduction (or prepro...
Xiao-Wen Chang, Qing Han
198
Voted
ICIP
2008
IEEE
16 years 5 months ago
Principal components for non-local means image denoising
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
Tolga Tasdizen
129
Voted
ICML
2000
IEEE
16 years 4 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
16 years 3 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon