Algorithms for approximate string matching
Information and Control
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
A novel relevance feedback technique in image retrieval
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
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
SWAMI (poster session): a framework for collaborative filtering algorithm development and evaluation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Collaborative Filtering Using Weighted Majority Prediction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Collaborative Learning and Recommender Systems
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
Proceedings of the 27th International Conference on Very Large Data Bases
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
IEEE Transactions on Image Processing
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We present an approach for image retrieval using on-line analysis of feedback sequence log. Our approach is based on user's feedback sequence accumulation and on-line collaborative filtering to predict the semantic correlation between query sample and the images in database. We make use of Edit Distance to evaluate the similarity between the feedback sequence of current retrieval and the prefixes of the records in the feedback log. Integrated with the retrieval method based on the generalized Euclidean distance, the retrieval accuracy can be improved apparently. Experiments over 11,000 images demonstrate that our method achieves significant improvement in retrieval performance compared with conventional methods.