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» Minimization of an M-convex Function
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STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 10 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
ICCV
1998
IEEE
14 years 11 months ago
Recovering Epipolar Geometry by Reactive Tabu Search
We propose a new approach to recover epipolar geometry from a pair of uncalibrated images. By minimizing a proposed cost function, our approach matches the detected feature points...
Qifa Ke, Gang Xu, Songde Ma
SIAMJO
2000
56views more  SIAMJO 2000»
13 years 9 months ago
Reformulation of Variational Inequalities on a Simplex and Compactification of Complementarity Problems
Abstract. Many variational inequality problems (VIPs) can be reduced, by a compactification procedure, to a VIP on the canonical simplex. Reformulations of this problem are studied...
Roberto Andreani, José Mario Martíne...
FS
2010
163views more  FS 2010»
13 years 7 months ago
On optimal portfolio diversification with respect to extreme risks
Extreme losses of portfolios with heavy-tailed components are studied in the framework of multivariate regular variation. Asymptotic distributions of extreme portfolio losses are ...
Georg Mainik, Ludger Rüschendorf
ICIP
1998
IEEE
14 years 11 months ago
Accelerated Monotonic Algorithms for Transmission Tomography
We present a framework for designing fast and monotonic algorithms for transmission tomography penalizedlikelihood image reconstruction. The new algorithms are based on paraboloid...
Hakan Erdogan, Jeffrey A. Fessler