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Fast Classification in Incrementally Growing Spaces
[chapter]
2011
Lecture Notes in Computer Science
The classification speed of state-of-the-art classifiers such as SVM is an important aspect to be considered for emerging applications and domains such as data mining and human-computer interaction. Usually, a test-time speed increase in SVMs is achieved by somehow reducing the number of support vectors, which allows a faster evaluation of the decision function. In this paper a novel approach is described for fast classification in a PCA+SVM scenario. In the proposed approach, classification of
doi:10.1007/978-3-642-21257-4_38
fatcat:dgok7e4a5jaixbcikzp3c7eulu