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IJCV
2008
192views more  IJCV 2008»
13 years 7 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
FOCS
2006
IEEE
14 years 1 months ago
On the Compressibility of NP Instances and Cryptographic Applications
We study compression that preserves the solution to an instance of a problem rather than preserving the instance itself. Our focus is on the compressibility of NP decision problem...
Danny Harnik, Moni Naor
BMCBI
2007
107views more  BMCBI 2007»
13 years 7 months ago
A computational approach for detecting peptidases and their specific inhibitors at the genome level
Background: Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2–5% of the genes encode for peptidases, irresp...
Lisa Bartoli, Remo Calabrese, Piero Fariselli, Dam...
MOR
2008
98views more  MOR 2008»
13 years 7 months ago
An Analysis of Monotone Follower Problems for Diffusion Processes
We consider a singular stochastic control problem, which is called the Monotone Follower Stochastic Control Problem and give sufficient conditions for the existence and uniqueness...
Erhan Bayraktar, Masahiko Egami
MP
2010
128views more  MP 2010»
13 years 6 months ago
Perspective reformulations of mixed integer nonlinear programs with indicator variables
Abstract. We study mixed integer nonlinear programs (MINLP)s that are driven by a collection of indicator variables where each indicator variable controls a subset of the decision ...
Oktay Günlük, Jeff Linderoth