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Rebai et al., 2016 - Google Patents

Deep kernel-SVM network

Rebai et al., 2016

Document ID
5413769082986630576
Author
Rebai I
BenAyed Y
Mahdi W
Publication year
Publication venue
2016 International Joint Conference on Neural Networks (IJCNN)

External Links

Snippet

Deep learning techniques have claimed state-of-the-art results in a wide range of tasks, including classification. Despite the promising results, there are limitations for these large networks. In fact, deep neural networks have a poor generalisation performance on small …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/6269—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
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