3004 search results - page 79 / 601 » Nonlinear Mapping Networks |
SCALESPACE
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. We present a technique for texture mapping arbitrary sphere-like surfaces with minimal distortions by spherical embedding. The embedding is computed using spherical multi...
BMVC
2010
14 years 8 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
103
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CORR
2007
Springer
14 years 10 months ago
2007
Springer
In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a se...
104
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JMLR
2010
14 years 4 months ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
WSOM
2009
Springer
15 years 4 months ago
2009
Springer
This paper discusses biological aspects of self-organising maps (SOMs) which includes a brief review of neurophysiological findings and classical models of neurophysiological SOMs...