Further results on global stabilization of discrete nonlinear systems
Systems & Control Letters
GAS, a concept on modeling species in genetic algorithms
Artificial Intelligence
Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns
Information Processing and Management: an International Journal
Hidden Annotation in Content Based Image Retrieval
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Index Trees for Efficient Deformable Shape-Based Retrieval
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Bayesian Relevance Feedback for Content-Based Image Retrieval
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Relevance Feedback Decision Trees in Content-Based Image Retrieval
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Multi-class relevance feedback content-based image retrieval
Computer Vision and Image Understanding
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Mutual relevance feedback for multimodal query formulation in video retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Visual information retrieval using synthesized imagery
Proceedings of the 6th ACM international conference on Image and video retrieval
An artificial imagination for interactive search
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Cross-media retrieval using query dependent search methods
Pattern Recognition
Retrieval of high-dimensional visual data: current state, trends and challenges ahead
Multimedia Tools and Applications
| Hi-index | 0.00 |
One of the most important characteristics about relevance feedback is that it ideally finds a set of human perceptually correlated results because the user is directly involved in the search process. In principle, relevance feedback is an iterative learning process where positive and negative examples accumulate as the user gives feedback on each new iteration of results. If we view relevance feedback as a learning problem then we can immediately grasp that there will be the associated problem of learning from a small training set. Towards a solution, we present MediaNet, which is an approach toward integrating additional knowledge sources into the relevance feedback process. The additional knowledge sources are used to shape the learning space when insufficient training samples are available. We also integrate genetic or evolutionary algorithms directly into the search process. Experiments are given on test collections in bio-computing, general photos and video