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Kernels on Attributed Pointsets with Applications
Mehul Parsana · Sourangshu Bhattacharya · Chiranjib Bhattacharyya · K. R. Ramakrishnan

Wed Dec 05 10:30 AM -- 10:40 AM (PST) @

This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to define positive semidefinite kernels on pointsets. Two novel kernels on neighborhoods are proposed, one evaluating the attribute similarity and the other evaluating shape similarity. Shape similarity function is motivated from spectral graph matching techniques. The kernels are tested on three real life applications: face recognition, photo album tagging, and shot annotation in video sequences, with encouraging results.

Author Information

Mehul Parsana (Indian Institute of Science)
Sourangshu Bhattacharya (Indian Institute of Technology Kharagpur)
Chiranjib Bhattacharyya (Indian Institute of Science)
K. R. Ramakrishnan (Indian Institute of Science)

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