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» Training of Support Vector Machines with Mahalanobis Kernels
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CSDA
2010
133views more  CSDA 2010»
15 years 3 months ago
Optimized fixed-size kernel models for large data sets
A modified active subset selection method based on quadratic R
Kris De Brabanter, Jos De Brabanter, Johan A. K. S...
EUSFLAT
2009
132views Fuzzy Logic» more  EUSFLAT 2009»
15 years 3 months ago
Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations
This paper demonstrates that several known sequence kernels can be expressed in a unified framework in which the position specificity is modeled by fuzzy equivalence relations. In ...
Ulrich Bodenhofer, Karin Schwarzbauer, Mihaela Ion...
DAGM
2004
Springer
15 years 9 months ago
Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features
Abstract. In this paper, we present a novel method for reducing the computational complexity of a Support Vector Machine (SVM) classifier without significant loss of accuracy. We a...
Matthias Rätsch, Sami Romdhani, Thomas Vetter
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
16 years 18 days ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
INFORMATICASI
2002
91views more  INFORMATICASI 2002»
15 years 5 months ago
Using Image Segmentation as a Basis for Categorization
Image categorization is the problem of classifying images into one or more of several possible categories or classes, which are defined in advance. Classifiers can be trained usin...
Janez Brank