219 search results - page 1 / 44 » Improvement of Nearest-Neighbor Classifiers via Support Vect... |
FLAIRS
2001
13 years 6 months ago
2001
Theoretically well-founded, Support Vector Machines (SVM)are well-knownto be suited for efficiently solving classification problems. Althoughimprovedgeneralization is the maingoal...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is qui...
ALENEX
2001
13 years 6 months ago
2001
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...