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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 3 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
CVPR
2008
IEEE
14 years 10 months ago
Automatic symmetry plane estimation of bilateral objects in point clouds
In this paper, the problem of estimating automatically the symmetry plane of bilateral objects (having perfect or imperfect mirror symmetry) in point clouds is reexamined. Classic...
Benoît Combès, John Waddington, Neil ...
DAC
2005
ACM
14 years 9 months ago
ICCAP: a linear time sparse transformation and reordering algorithm for 3D BEM capacitance extraction
This paper presents an efficient hierarchical 3D capacitance extraction algorithm -- ICCAP. Most previous capacitance extraction algorithms introduce intermediate variables to fac...
Rong Jiang, Yi-Hao Chang, Charlie Chung-Ping Chen
CVPR
2010
IEEE
14 years 5 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
ECCV
2004
Springer
14 years 1 months ago
A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection
This paper deals with the computation of optical flow and occlusion detection in the case of large displacements. We propose a Bayesian approach to the optical flow problem and s...
Christoph Strecha, Rik Fransens, Luc J. Van Gool