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» A Factorization Approach to Grouping
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121
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FCT
2007
Springer
15 years 9 months ago
Analysis of Approximation Algorithms for k-Set Cover Using Factor-Revealing Linear Programs
We present new combinatorial approximation algorithms for k-set cover. Previous approaches are based on extending the greedy algorithm by efficiently handling small sets. The new a...
Stavros Athanassopoulos, Ioannis Caragiannis, Chri...
145
Voted
ECCV
2000
Springer
15 years 8 months ago
Factorization with Uncertainty
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
Michal Irani, P. Anandan
116
Voted
CVPR
2010
IEEE
15 years 3 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton
118
Voted
IDA
2008
Springer
15 years 3 months ago
Transcription factor binding site recognition by regularity matrices based on the natural classification method
A principally new approach to the classifications of nucleotide sequences based on the "natural" classification concept is proposed. As a result of "natural" c...
Eugenii E. Vityaev, K. A. Lapardin, I. V. Khomiche...
193
Voted
BMCV
2000
Springer
15 years 8 months ago
A New Line Segment Grouping Method for Finding Globally Optimal Line Segments
In this paper we propose a new method for extracting line segments from edge images. Our method basically follows a line segment grouping approach. This approach has many advantage...
Jeong-Hun Jang, Ki-Sang Hong