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NIPS
1996
15 years 5 months ago
Improving the Accuracy and Speed of Support Vector Machines
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Christopher J. C. Burges, Bernhard Schölkopf
ICML
2010
IEEE
15 years 5 months ago
Fast Neighborhood Subgraph Pairwise Distance Kernel
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
Fabrizio Costa, Kurt De Grave
ENGL
2007
92views more  ENGL 2007»
15 years 4 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru
ICASSP
2011
IEEE
14 years 7 months ago
A new criterion for optimal constrained minimax detection and classification
This paper adresses the problem of anomaly detection and classification by using a noisy measurement vector corrupted by some linear unknown nuisance parameters. An invariant con...
Lionel Fillatre, Igor Nikiforov
AMOST
2005
ACM
15 years 9 months ago
Using information about functions in selecting test cases
We consider the problem of generating a set of test cases from a black box specification. We focus on stress testing, i.e. picking test cases that seem most likely to reveal prog...
Markus Clermont, David Lorge Parnas