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» Sparse Computations with PEI
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 10 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
FPGA
2000
ACM
114views FPGA» more  FPGA 2000»
15 years 10 months ago
Generating highly-routable sparse crossbars for PLDs
A method for evaluating and constructing sparse crossbars which are both area efficient and highly routable is presented. The evaluation method uses a network flow algorithm to ac...
Guy G. Lemieux, Paul Leventis, David M. Lewis
PAMI
1998
197views more  PAMI 1998»
15 years 6 months ago
Inference of Integrated Surface, Curve, and Junction Descriptions From Sparse 3D Data
—We are interested in descriptions of 3D data sets, as obtained from stereo or a 3D digitizer. We therefore consider as input a sparse set of points, possibly associated with cer...
Chi-Keung Tang, Gérard G. Medioni
CVPR
2009
IEEE
1372views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Blind motion deblurring from a single image using sparse approximation
Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digital imaging. Existing blind deblurring techniques eithe...
Jian-Feng Cai (National University of Singapore), ...
CVPR
2008
IEEE
16 years 8 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell