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» A subdivision-based algorithm for the sparse resultant
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CVPR
2001
IEEE
14 years 10 months ago
Bayesian Learning of Sparse Classifiers
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
Anil K. Jain, Mário A. T. Figueiredo
ICIP
2006
IEEE
14 years 10 months ago
Volumetric Representation for Sparse Multi-Views
In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a nonLambertian scene. The depth map of each reference view is regi...
Nantheera Anantrasirichai, Cedric Nishan Canagaraj...
ISBI
2008
IEEE
14 years 9 months ago
Sparse representations for limited data tomography
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
Hstau Y. Liao, Guillermo Sapiro
BMVC
1998
13 years 10 months ago
Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms
Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground-truth data sets for complex scenes. We describe a simple modification to a r...
Ben Galvin, Brendan McCane, Kevin Novins, David Ma...
ICA
2007
Springer
14 years 2 months ago
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...
Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari