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Keywords
Support Vector Data Description

SVDD,Support Vector Data Description,Support Vector Data Descriptions,support vectors data description

Support Vector Data Description - SVDD
Publications: 221| Citation Count: 995
Stemming Variations: Support Vector Data Descriptions, support vectors data description
Cumulative Annual
    • Support vector data description (SVDD) is a powerful kernel method that has been commonly used for novelty detection. While its quadratic programming formulation has the important computational advantage of avoiding the problem of local minimum, this has a runtime complexity of O(N3), where N is the number of training patterns...

    Calvin S. Chuet al. Scaling up support vector data description by using core-sets

    • Support vector data description (SVDD) is a very attractive kernel method in many novelty detection problems. However, the decision function of SVDD is expressed in terms of the kernel expansion, which results in a run-time complexity linear in the number of support vectors (SVs)...

    Xinjun Penget al. Efficient support vector data descriptions for novelty detection

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