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OL
2011
177views Neural Networks» more  OL 2011»
12 years 11 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 1 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
ICNP
2007
IEEE
14 years 3 months ago
FRASA: Feedback Retransmission Approximation for the Stability Region of Finite-User Slotted ALOHA
—FRASA, Feedback Retransmission Approximation for Slotted ALOHA, is proposed to study the stability region of finiteuser slotted ALOHA under collision channel. With FRASA, the s...
Ka-Hung Hui, On-Ching Yue, Wing Cheong Lau
TIT
2010
128views Education» more  TIT 2010»
13 years 3 months ago
Shannon-theoretic limits on noisy compressive sampling
In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...
Mehmet Akçakaya, Vahid Tarokh
ICML
2008
IEEE
14 years 9 months ago
No-regret learning in convex games
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...
Geoffrey J. Gordon, Amy R. Greenwald, Casey Marks