Kernel Feature Selection with Side Data Using a Spectral Approach

Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In particular, this topic includes on one

• Type: Conference
• Year: 2004
• Where: ECCV
• Authors: Amnon Shashua, Lior Wolf
• Keywords: Computer Vision, ECCV 2004, Relevant Features