Technical Note: \cal Q-Learning
Machine Learning
Digital image processing
Closed-Loop Object Recognition Using Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic feature relevance learining for content-based image retrieval
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Regions-of-Interest and Spatial Layout for Content-Based Image Retrieval
Multimedia Tools and Applications
Learning Similarity Matching in Multimedia Content-Based Retrieval
IEEE Transactions on Knowledge and Data Engineering
Target Testing and the PicHunter Bayesian Multimedia Retrieval System
ADL '96 Proceedings of the 3rd International Forum on Research and Technology Advances in Digital Libraries
Exploitation of Meta Knowledge for Learning Visual Concepts
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Improving Retrieval Performance by Long-term Relevance Information
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
A Weighted Distance Approach to Relevance Feedback
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
A probabilistic similarity framework for content-based image retrieval
A probabilistic similarity framework for content-based image retrieval
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Relevance feedback for content-based image retrieval: what can three mouse clicks achieve?
ECIR'03 Proceedings of the 25th European conference on IR research
Delayed reinforcement learning for adaptive image segmentation andfeature extraction
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Signatures versus histograms: Definitions, distances and algorithms
Pattern Recognition
Hybrid coevolutionary algorithms vs. SVM algorithms
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Visual information retrieval using synthesized imagery
Proceedings of the 6th ACM international conference on Image and video retrieval
Feature synthesized EM algorithm for image retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Aggregate similarity queries in relevance feedback methods for content-based image retrieval
Proceedings of the 2008 ACM symposium on Applied computing
A new relevance feedback technique for iconic image retrieval based on spatial relationships
Journal of Systems and Software
Multimedia Tools and Applications
Speed up interactive image retrieval
The VLDB Journal — The International Journal on Very Large Data Bases
Interactive Image Retrieval in a Fuzzy Framework
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Optimal dimension reduction for image retrieval with correlation metrics
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An artificial imagination for interactive search
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Image retrieval using fuzzy relevance feedback and validation with MPEG-7 content descriptors
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Online learning of relevance feedback from expert readers for mammogram retrieval
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Region-based semantic similarity propagation for image retrieval
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Particle swarm optimization for automatic selection of relevance feedback heuristics
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Asymmetric bayesian learning for image retrieval with relevance feedback
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Interactive multimedia system for distance learning of higher education
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
International Journal of Applied Metaheuristic Computing
Reinforcement learning algorithms with function approximation: Recent advances and applications
Information Sciences: an International Journal
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Relevance feedback (RF) is an interactive process which refines the retrievals to a particular query by utilizing the user's feedback on previously retrieved results. Most researchers strive to develop new RF techniques and ignore the advantages of existing ones. In this paper, we propose an image relevance reinforcement learning (IRRL) model for integrating existing RF techniques in a content-based image retrieval system. Various integration schemes are presented and a long-term shared memory is used to exploit the retrieval experience from multiple users. Also, a concept digesting method is proposed to reduce the complexity of storage demand. The experimental results manifest that the integration of multiple RF approaches gives better retrieval performance than using one RF technique alone, and that the sharing of relevance knowledge between multiple query sessions significantly improves the performance. Further, the storage demand is significantly reduced by the concept digesting technique. This shows the scalability of the proposed model with the increasing-size of database.