Salient Instance Selection for Multiple-Instance Learning

Liming Yuan; Songbo Liu; Qingcheng Huang; Jiafeng Liu; Xianglong Tang

doi:10.1007/978-3-642-34487-9_8

ScienceGate Book Chapters

BOOK-CHAPTER

Salient Instance Selection for Multiple-Instance Learning

Liming Yuan Songbo Liu Qingcheng Huang Jiafeng Liu Xianglong Tang

Year: 2012 Lecture notes in computer science Pages: 58-67 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-34487-9_8

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Discriminative model Machine learning Salient Benchmark (surveying) Ambiguity Selection (genetic algorithm) Embedding Construct (python library)

Metrics

Cited By

0.25

FWCI (Field Weighted Citation Impact)

Refs

0.54

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

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

Salient Instance Selection for Multiple-Instance Learning

Metrics

Citation History

Topics

Related Documents

MILIS: Multiple Instance Learning with Instance Selection

Multiple-Instance Learning with Evolutionary Instance Selection

Multiple-Instance Learning: Multiple Feature Selection on Instance Representation

An instance selection approach to Multiple instance Learning

Revisiting Multiple-Instance Learning Via Embedded Instance Selection