Skip to main navigation
Skip to search
Skip to main content
Montclair State University Home
Help & FAQ
Home
Profiles
Research units
Core Facilities
Grants/Projects
Research output
Prizes
Press/Media
Search by expertise, name or affiliation
Multi-class relevance feedback content-based image retrieval
Jing Peng
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
21
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Multi-class relevance feedback content-based image retrieval'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Content-based Image Retrieval
100%
Multi-class
100%
Relevance Feedback
100%
Feedback Content
100%
Class Information
28%
Feature Dimension
14%
Feedback Method
14%
Retrieval Practice
14%
Image Database
14%
Image Data
14%
Database Applications
14%
Local Relevance
14%
Perceived Similarity
14%
User Feeling
14%
Fewer Iterations
14%
Computer Science
Content-based image retrieval
100%
Relevance Feedback
100%
Information Retrieval
42%
Class Information
28%
Feature Dimension
14%
Database Application
14%
retrieval performance
14%
Image Database
14%
Perceived Similarity
14%