Super-Sparse Learning in Similarity Spaces

Ambra Demontis

Marco Melis

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Battista Biggio

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Giorgio Fumera

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Fabio Roli

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IEEE Computational Intelligence Magazine, Volume abs/1712.06131, Issue 4, 2016, Pages 36-45.

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Keywords:

Computer visionBiometricsMachine learningText miningSupport vector machinesMore(6+)

Abstract:

In a growing number of applications, including computer vision, biometrics, text categorization and information retrieval, samples are often represented more naturally in terms of similarities between each other, rather than in an explicit feature vector space [1], [2]. Traditional machine-learning algorithms can still be used to learn ov...More

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