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ECCV
2000
Springer
15 years 9 months ago
Measuring the Self-Consistency of Stereo Algorithms
A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any \ground truth', it uses the self-consistency of th...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua
NPL
2006
100views more  NPL 2006»
15 years 4 months ago
Constrained Projection Approximation Algorithms for Principal Component Analysis
Abstract. In this paper we introduce a new error measure, integrated reconstruction error (IRE) and show that the minimization of IRE leads to principal eigenvectors (without rotat...
Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
ICPR
2008
IEEE
15 years 11 months ago
Partial closure-based constrained clustering with order ranking
In this paper we propose a new partial closure-based constrained clustering algorithm. We introduce closures into the partial constrained clustering and we propose a new measureme...
Shaohong Zhang, Hau-San Wong
AAECC
2001
Springer
121views Algorithms» more  AAECC 2001»
15 years 9 months ago
Algorithms for Large Integer Matrix Problems
Abstract. New algorithms are described and analysed for solving various problems associated with a large integer matrix: computing the Hermite form, computing a kernel basis, and s...
Mark Giesbrecht, Michael J. Jacobson Jr., Arne Sto...
ICCVW
1999
Springer
15 years 9 months ago
Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency
A new approach to characterizing the performance of point-correspondencealgorithmsis presented. Instead of relyingon any \ground truth', it uses the self-consistency of the o...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua