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» On Unbiased Linear Approximations
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89
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SIAMJO
2002
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15 years 9 days ago
Nonlinearly Constrained Best Approximation in Hilbert Spaces: The Strong CHIP and the Basic Constraint Qualification
We study best approximation problems with nonlinear constraints in Hilbert spaces. The strong "conical hull intersection property" (CHIP) and the "basic constraint q...
Chong Li, Xiao-Qing Jin
ICCV
2005
IEEE
16 years 2 months ago
A New Framework for Approximate Labeling via Graph Cuts
A new framework is presented that uses tools from duality theory of linear programming to derive graph-cut based combinatorial algorithms for approximating NP-hard classification ...
Nikos Komodakis, Georgios Tziritas
ICPR
2006
IEEE
16 years 1 months ago
Metric tree partitioning and Taylor approximation for fast support vector classification
This paper presents a method to speed up support vector classification, especially important when data is highdimensional. Unlike previous approaches which focus on less support v...
Thang V. Pham, Arnold W. M. Smeulders
94
Voted
ICPR
2008
IEEE
15 years 7 months ago
Fast approximate kernel-based similarity search for image retrieval task
In content based image retrieval, the success of any distance-based indexing scheme depends critically on the quality of the chosen distance metric. We propose in this paper a ker...
David Gorisse, Matthieu Cord, Frédér...
111
Voted
NIPS
2003
15 years 2 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan