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ICPR
2004
IEEE
14 years 11 months ago
Tangent Vector Kernels for Invariant Image Classification with SVMs
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
Alexei Pozdnoukhov, Samy Bengio
AAAI
2006
13 years 11 months ago
Classification Spanning Private Databases
In this paper, we study the classification problem involving information spanning multiple private databases. The privacy challenges lie in the facts that data cannot be collected...
Ke Wang, Yabo Xu, Rong She, Philip S. Yu
IJIT
2004
13 years 11 months ago
An Improved Preprocessing for Biosonar Target Classification
An improved processing description to be employed in biosonar signal processing in a cochlea model is proposed and examined. It is compared to conventional models using a modified ...
Turgay Temel, John Hallam
NN
2006
Springer
146views Neural Networks» more  NN 2006»
13 years 10 months ago
Comparison of relevance learning vector quantization with other metric adaptive classification methods
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...
Thomas Villmann, Frank-Michael Schleif, Barbara Ha...
JMLR
2010
99views more  JMLR 2010»
13 years 5 months ago
An Efficient Explanation of Individual Classifications using Game Theory
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
Erik Strumbelj, Igor Kononenko