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» Submodular function minimization
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98
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ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 8 days ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
149
Voted
SIAMNUM
2010
131views more  SIAMNUM 2010»
14 years 7 months ago
A Rational Interpolation Scheme with Superpolynomial Rate of Convergence
The purpose of this study is to construct a high-order interpolation scheme for arbitrary scattered datasets. The resulting function approximation is an interpolation function when...
Qiqi Wang, Parviz Moin, Gianluca Iaccarino
96
Voted
CVPR
2001
IEEE
16 years 2 months ago
Support Vector Tracking
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function betwee...
Shai Avidan
ICPR
2006
IEEE
16 years 1 months ago
Combinatorial Surface Integration
Graph-Spectral surface integration techniques construct an integration path assuming that the surface contains a path along which the integration error is minimal. This paper pres...
Edwin R. Hancock, Roberto Fraile
90
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky