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» On the Learnability of Vector Spaces
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PR
2007
104views more  PR 2007»
14 years 9 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
ICPR
2006
IEEE
15 years 11 months ago
Multi-orientation analysis by decomposing the structure tensor and clustering
The structure tensor yields an excellent characterization of the local dimensionality and the corresponding orientation for simple neighborhoods, i.e. neighborhoods exhibiting a s...
Lucas J. van Vliet, Frank G. A. Faas
IPPS
2006
IEEE
15 years 3 months ago
Dynamic configuration steering for a reconfigurable superscalar processor
A new dynamic vector approach for the selection and management of the configuration of a reconfigurable superscalar processor is proposed. This new method improves on previous wor...
Nick A. Mould, Brian F. Veale, Monte P. Tull, John...
IJON
2007
134views more  IJON 2007»
14 years 9 months ago
Analysis of SVM regression bounds for variable ranking
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
Alain Rakotomamonjy
ICANN
2007
Springer
15 years 4 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters