A Multi-instance Multi-label Learning Framework of Image Retrieval

Chaojun Wang; Zhixin Li; Canlong Zhang

doi:10.1007/978-3-662-44980-6_27

ScienceGate Book Chapters

BOOK-CHAPTER

A Multi-instance Multi-label Learning Framework of Image Retrieval

Chaojun Wang Zhixin Li Canlong Zhang

Year: 2014 Lecture notes in computer science Pages: 239-248 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-662-44980-6_27

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Image retrieval Relevance feedback Relevance (law) Artificial intelligence Visual Word Image (mathematics) Automatic image annotation Content-based image retrieval Image texture Pattern recognition (psychology) Sample (material) Image processing Process (computing) Information retrieval

Metrics

Cited By

0.26

FWCI (Field Weighted Citation Impact)

Refs

0.52

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

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A Multi-instance Multi-label Learning Framework of Image Retrieval

Metrics

Citation History

Topics

Related Documents

Automatic Image Annotation and Retrieval using Multi-Instance Multi-Label Learning

Multi-Instance Multi-Label Learning for Text-motion Retrieval

Multi-label Supervised Manifold Ranking for Multi-instance Image Retrieval

Instance-Aware Hashing for Multi-Label Image Retrieval

Multi-graph multi-instance learning with soft label consistency for object-based image retrieval