Multiple-Instance Learning with Evolutionary Instance Selection

Yongshan Zhang; Jia Wu; Chuan Zhou; Peng Zhang; Zhihua Cai

doi:10.1007/978-3-319-32025-0_15

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Multiple-Instance Learning with Evolutionary Instance Selection

Yongshan Zhang Jia Wu Chuan Zhou Peng Zhang Zhihua Cai

Year: 2016 Lecture notes in computer science Pages: 229-241 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-32025-0_15

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Keywords:

Computer science Artificial intelligence Initialization Machine learning Ambiguity Selection (genetic algorithm) Crossover Class (philosophy) Feature vector Instance-based learning Feature selection Evolutionary algorithm Active learning (machine learning)

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Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multiple-Instance Learning with Evolutionary Instance Selection

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