Amanote Research

Amanote Research

    RegisterSign In

Learning a Semantic Space From User's Relevance Feedback for Image Retrieval

IEEE Transactions on Circuits and Systems for Video Technology - United States
doi 10.1109/tcsvt.2002.808087
Full Text
Open PDF
Abstract

Available in full text

Categories
Electronic EngineeringMedia TechnologyElectrical
Date

January 1, 2003

Authors

Unknown

Publisher

Institute of Electrical and Electronics Engineers (IEEE)


Related search

A Semi-Supervised Learning Algorithm for Relevance Feedback and Collaborative Image Retrieval

Eurasip Journal on Image and Video Processing
Electronic EngineeringSignal ProcessingInformation SystemsElectrical
2015English

Sparsity Based Image Retrieval Using Relevance Feedback

2012English

Evaluating Group-Based Relevance Feedback for Content-Based Image Retrieval

English

Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback

English

Strategies for Positive and Negative Relevance Feedback in Image Retrieval

English

Building a Latent Semantic Index of an Image Database From Patterns of Relevance Feedback

English

Image Retrieval Relevance Feedback Based on Grover Quantum Searching Algorithm

DEStech Transactions on Computer Science and Engineering
2017English

Unsupervised Multi-Feature Tag Relevance Learning for Social Image Retrieval

2010English

Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases

Multimedia Tools and Applications
Media TechnologyComputer NetworksHardwareCommunicationsArchitectureSoftware
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy