Article ID Journal Published Year Pages File Type
535390 Pattern Recognition Letters 2008 9 Pages PDF
Abstract

This paper introduces a simple evaluation function for multiple instance learning that admits an optimistic pruning strategy. We demonstrate comparable results to state-of-the-art methods using significantly fewer computational resources.

Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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Optimistic pruning for multiple instance learning
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