2210 search results - page 199 / 442 » Information complexity of neural networks |
178
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
176
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ICIP
1999
IEEE
16 years 8 months ago
1999
IEEE
Performances evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. In this ...
181
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CCIW
2009
Springer
16 years 1 months ago
2009
Springer
The paper presents a novel Motor Map neural network for re-indexing color mapped images. The overall learning process is able to smooth the local spatial redundancy of the indexes ...
214
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ISNN
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
159
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IWANN
2009
Springer
16 years 1 months ago
2009
Springer
Parallel computing has become an important research field in the last years. The availability of hardware and the success of grid computing have motivated this interest. In this pa...