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PKDD
2009
Springer
162views Data Mining» more  PKDD 2009»
14 years 4 months ago
A Convex Method for Locating Regions of Interest with Multi-instance Learning
Abstract. In content-based image retrieval (CBIR) and image screening, it is often desirable to locate the regions of interest (ROI) in the images automatically. This can be accomp...
Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua ...
ICRA
2003
IEEE
118views Robotics» more  ICRA 2003»
14 years 3 months ago
Capturing a convex object with three discs
Abstract— This paper addresses the problem of capturing an arbitrary convex object P in the plane with three congruent disc-shaped robots. Given two stationary robots in contact ...
Jeff Erickson, Shripad Thite, Fred Rothganger, Jea...
SC
1995
ACM
14 years 1 months ago
A Performance Evaluation of the Convex SPP-1000 Scalable Shared Memory Parallel Computer
The Convex SPP-1000 is the first commercial implementation of a new generation of scalable shared memory parallel computers with full cache coherence. It employs a hierarchical s...
Thomas L. Sterling, Daniel Savarese, Peter MacNeic...
CORR
2010
Springer
76views Education» more  CORR 2010»
13 years 10 months ago
Query Strategies for Evading Convex-Inducing Classifiers
Classifiers are often used to detect miscreant activities. We study how an adversary can systematically query a classifier to elicit information that allows the adversary to evade...
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Hua...
JMLR
2006
150views more  JMLR 2006»
13 years 10 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian