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CORR
2010
Springer
76views Education» more  CORR 2010»
14 years 9 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»
14 years 9 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
ICASSP
2011
IEEE
14 years 1 months ago
Subspace constrained LU decomposition of FMLLR for rapid adaptation
This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
Lei Jia, Dong Yu, Bo Xu
FOCS
2006
IEEE
15 years 3 months ago
Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body
We draw on the observation that the amount of heat diffusing outside of a heated body in a short period of time is proportional to its surface area, to design a simple algorithm f...
Mikhail Belkin, Hariharan Narayanan, Partha Niyogi
COLT
2006
Springer
15 years 1 months ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola