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» Level-set methods for convex optimization
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SIAMJO
2000
113views more  SIAMJO 2000»
15 years 1 months ago
Cones of Matrices and Successive Convex Relaxations of Nonconvex Sets
Let F be a compact subset of the n-dimensional Euclidean space Rn represented by (finitely or infinitely many) quadratic inequalities. We propose two methods, one based on successi...
Masakazu Kojima, Levent Tunçel
ICML
2009
IEEE
16 years 2 months ago
Learning kernels from indefinite similarities
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
Yihua Chen, Maya R. Gupta, Benjamin Recht
TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 4 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
TCAD
1998
107views more  TCAD 1998»
15 years 1 months ago
Optimizing dominant time constant in RC circuits
— Conventional methods for optimal sizing of wires and transistors use linear resistor-capacitor (RC) circuit models and the Elmore delay as a measure of signal delay. If the RC ...
Lieven Vandenberghe, Stephen P. Boyd, Abbas A. El ...
AMC
2007
89views more  AMC 2007»
15 years 1 months ago
A numerical iterative scheme for computing finite order rank-one convex envelopes
It is known that the i-th order laminated microstructures can be resolved by the k-th order rank-one convex envelopes with k ≥ i. So the requirement of establishing an efficient ...
Xin Wang, Zhiping Li