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» Computing with abstract matrix structures
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CVPR
2012
IEEE
13 years 2 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
ESOP
2009
Springer
15 years 6 months ago
Abstraction for Concurrent Objects
ion for Concurrent Objects Ivana Filipovi´c, Peter O’Hearn, Noam Rinetzky, and Hongseok Yang Queen Mary University of London, UK Concurrent data structures are usually designed ...
Ivana Filipovic, Peter W. O'Hearn, Noam Rinetzky, ...
DAC
1996
ACM
15 years 4 months ago
Efficient Full-Wave Electromagnetic Analysis via Model-Order Reduction of Fast Integral Transforms
Abstract-An efficient full-wave electromagnetic analysis tool would be useful in many aspects of engineering design. Development of integral-equation based tools has been hampered ...
Joel R. Philips, Eli Chiprout, David D. Ling
ICPR
2008
IEEE
15 years 6 months ago
Calibration of a structured light system by observing planar object from unknown viewpoints
— A calibration method for a structured light system by observing a planar object from unknown viewpoints is proposed. A structured light system captures a 3D shape by a camera t...
Koichiro Yamauchi, Hideo Saito, Yukio Sato
SIAMMAX
2010
97views more  SIAMMAX 2010»
14 years 6 months ago
Krylov Subspace Methods for Linear Systems with Tensor Product Structure
The numerical solution of linear systems with certain tensor product structures is considered. Such structures arise, for example, from the finite element discretization of a line...
Daniel Kressner, Christine Tobler