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» Optimizing kernel parameters by second-order methods
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ECCV
2010
Springer
14 years 1 months ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
PARA
2004
Springer
14 years 1 months ago
A Family of High-Performance Matrix Multiplication Algorithms
During the last half-decade, a number of research efforts have centered around developing software for generating automatically tuned matrix multiplication kernels. These include ...
John A. Gunnels, Fred G. Gustavson, Greg Henry, Ro...
JMLR
2002
89views more  JMLR 2002»
13 years 7 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
BMCBI
2008
143views more  BMCBI 2008»
13 years 8 months ago
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
Britta Mersch, Alexander Gepperth, Sándor S...
DAGM
2011
Springer
12 years 7 months ago
Using Landmarks as a Deformation Prior for Hybrid Image Registration
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
Marcel Lüthi, Christoph Jud, Thomas Vetter