Abstract
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. © Springer-Verlng Berlin Heidelberg 2006.
Cite
CITATION STYLE
Tzikas, D., Likas, A., & Galatsanos, N. (2006). Large scale multikernel RVM for object detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3955 LNAI, pp. 389–399). https://doi.org/10.1007/11752912_39
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