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CVPR
2007
IEEE
14 years 9 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
ISBI
2006
IEEE
14 years 8 months ago
Early detection of rejection in cardiac MRI: a spectral graph approach
This paper develops an algorithm to detect abnormalities of small animals' transplanted hearts in MRI, at early stage of rejection when the hearts do not display prominent ab...
Chien Ho, Hsun-Hsien Chang, José M. F. Mour...
ASPDAC
2008
ACM
174views Hardware» more  ASPDAC 2008»
13 years 9 months ago
Chebyshev Affine Arithmetic based parametric yield prediction under limited descriptions of uncertainty
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
Jin Sun, Yue Huang, Jun Li, Janet Meiling Wang
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
13 years 8 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
FSS
2007
102views more  FSS 2007»
13 years 7 months ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...