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» The Convergence of Iterated Classification
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NA
2006
123views more  NA 2006»
15 years 3 months ago
Restarted block Lanczos bidiagonalization methods
Abstract. The problem of computing a few of the largest or smallest singular values and associated singular vectors of a large matrix arises in many applications. This paper descri...
James Baglama, Lothar Reichel
CVPR
2007
IEEE
16 years 6 months ago
A Novel Approach to Improve Biometric Recognition Using Rank Level Fusion
This paper proposes a novel approach for rank level fusion which gives improved performance gain verified by experimental results. In the absence of ranked features and instead of...
Jay Bhatnagar, Ajay Kumar, Nipun Saggar
JMLR
2006
105views more  JMLR 2006»
15 years 3 months ago
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
Luca Zanni, Thomas Serafini, Gaetano Zanghirati
CVPR
2006
IEEE
16 years 6 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
129
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ICIP
2007
IEEE
16 years 5 months ago
Active Contours Based on Chambolle's Mean Curvature Motion
This paper proposes an algorithm to solve most of existing active contour problems based on the approach of mean curvature motion proposed by Chambolle in [1] and the image denois...
Xavier Bresson, Tony F. Chan