Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Edge-based structural features for content-based image retrieval
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Comparing discriminating transformations and SVM for learning during multimedia retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
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
Discriminant Analysis of Principal Components for Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
A New LDA-Based Method for Face Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Eigenspace-Based Recognition of Faces: Comparisons and a New Approach
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
An efficient memorization scheme for relevance feedback in image retrieval
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
IEEE Transactions on Image Processing
Learning a semantic space from user's relevance feedback for image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Deriving semantics for image clustering from accumulated user feedbacks
Proceedings of the 15th international conference on Multimedia
Performance evaluation of relevance feedback methods
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
FISH: a practical system for fast interactive image search in huge databases
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Region-based image retrieval system with heuristic pre-clustering relevance feedback
Expert Systems with Applications: An International Journal
Connected component in feature space to capture high level semantics in CBIR
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Fuzzy SVM ensembles for relevance feedback in image retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
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Relevance-Feedback is a powerful paradigm for incorporating semantic information in content-based image retrieval. Various relevance-feedback methods have been proposed. They were evaluated according to their success-rate in individual image retrieval sessions, where each session is considered independently of other sessions. In this paper we propose a method for accumulating semantic grouping information from multiple relevance-feedback sessions. We show that such information enables gradual improvements in image retrieval, enabling the current session to benefit from knowledge acquire in previous sessions