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Optimistic pruning for multiple instance learning

delete2008-07-01
delete2
PRE
AI
A
Amy McGovern *
D
David Jensen
DOI：10.1016/j.patrec.2008.01.024delete
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摘要

摘要

En 中文
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. (c) 2008 Elsevier B.V. All rights reserved.
Keyword:
multiple instance learning
optimistic pruning
chi-squared
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Pattern Recognition Letters 封面图
Pattern Recognition Letters
IF:
3.3
论文数:
8.0K
被引数:
1.6W

机构

U
university of oklahoma - norman
学者数:
5.8K
论文数: 5.0K
被引数: 6
U
university of oklahoma system
学者数:
1.9W
论文数: 1.6W
被引数: 17
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