A relevance feedback method based on genetic programming for classification of remote sensing images
- 1 July 2011
- journal article
- research article
- Published by Elsevier BV in Information Sciences
- Vol. 181 (13), 2671-2684
- https://doi.org/10.1016/j.ins.2010.02.003
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problemsInformation Sciences, 2010
- A genetic programming framework for content-based image retrievalPattern Recognition, 2009
- Image retrieval model based on weighted visual features determined by relevance feedbackInformation Sciences, 2008
- Adaptive relevance feedback based on Bayesian inference for image retrievalSignal Processing, 2005
- A generic ranking function discovery framework by genetic programming for information retrievalInformation Processing & Management, 2004
- Relevance Feedback in Region-Based Image RetrievalIEEE Transactions on Circuits and Systems for Video Technology, 2004
- Object detection in multi-modal images using genetic programmingApplied Soft Computing, 2004
- The effects of fitness functions on genetic programming‐based ranking discovery for Web searchJournal of the American Society for Information Science and Technology, 2004
- The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experimentsIEEE Transactions on Image Processing, 2000
- Image representation using 2D Gabor waveletsIeee Transactions On Pattern Analysis and Machine Intelligence, 1996