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» Convex Learning with Invariances
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ESANN
2007
13 years 9 months ago
Convex optimization for the design of learning machines
This paper reviews the recent surge of interest in convex optimization in a context of pattern recognition and machine learning. The main thesis of this paper is that the design of...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
FOCS
2010
IEEE
13 years 5 months ago
Learning Convex Concepts from Gaussian Distributions with PCA
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
Santosh Vempala
JMLR
2010
84views more  JMLR 2010»
13 years 2 months ago
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
The versatility of exponential families, along with their attendant convexity properties, make them a popular and effective statistical model. A central issue is learning these mo...
Sham Kakade, Ohad Shamir, Karthik Sindharan, Ambuj...
CVPR
2009
IEEE
1517views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Linear Solution to Scale and Rotation Invariant Object Matching
Images of an object undergoing ego- or camera- motion often appear to be scaled, rotated, and deformed versions of each other. To detect and match such distorted patterns to a s...
Hao Jiang, Stella X. Yu
CADE
2006
Springer
14 years 7 months ago
Inferring Network Invariants Automatically
Abstract. Verification by network invariants is a heuristic to solve uniform verification of parameterized systems. Given a system P, a network invariant for P is that abstracts th...
Olga Grinchtein, Martin Leucker, Nir Piterman