510 search results - page 8 / 102 » Adaptive Distances on Sets of Vectors |
NIPS
1998
14 years 11 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
NN
2006
Springer
14 years 10 months ago
2006
Springer
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
DAGM
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We consider the problem of non-rigid, point-to-point registration of two 3D surfaces. To avoid restrictions on the topology, we represent the surfaces as a level-set of t...
136
click to vote
SSD
2007
Springer
15 years 4 months ago
2007
Springer
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
104
click to vote
ICDAR
2003
IEEE
15 years 3 months ago
2003
IEEE
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...