期刊
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
卷 16, 期 6, 页码 967-979出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218213007003655
关键词
relevance vector machine; object detection; image analysis
The Relevance Vector Machine(RVM) is a widely accepted Bayesian model commonly used for regression and classification tasks. In this paper we propose a multikernel version of the RVM and present an alternative inference algorithm based on Fourier domain computation to solve this model for large scale problems, e.g. images. We then apply the proposed method to the object detection problem with promising results.
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