Titlebook: Similarity-Based Pattern Recognition; First International Marcello Pelillo,Edwin R. Hancock Conference proceedings 2011 Springer-Verlag Gm

美学

Multiple-Instance Learning with Instance Selection via Dominant Sets been a growing interest in the design and use of MIL algorithms as it provides a natural framework to solve a wide variety of pattern recognition problems. In this paper, we address MIL from a view that transforms the problem into a standard supervised learning problem via instance selection. The n