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libocas implements an Optimized Cutting Plane Algorithm (OCAS) for training
linear SVM classifiers from large-scale data. The computational effort of
OCAS scales with O(m log m) where m is the sample size. In an extensive
empirical evaluation, OCAS significantly outperforms current state-of-the-art
SVM solvers.
libocas also implements the COFFIN framework for efficient training of
translation invariant image classifiers from virtual examples.
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