RELEVANCE FEEDBACK IN MULTIMEDIA DATABASES

[1]  Edward Y. Chang,et al.  MEGA---the maximizing expected generalization algorithm for learning complex query concepts , 2003, TOIS.

[2]  Sharad Mehrotra,et al.  An Approach to Integrating Query Refinement in SQL , 2002, EDBT.

[3]  Jing Peng,et al.  Adaptive quasiconformal kernel metric for image retrieval , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[4]  Thomas S. Huang,et al.  One-class SVM for learning in image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[5]  Edward Y. Chang,et al.  Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.

[6]  Ilaria Bartolini,et al.  FeedbackBypass: A New Approach to Interactive Similarity Query Processing , 2001, VLDB.

[7]  Christos Faloutsos,et al.  FALCON: Feedback Adaptive Loop for Content-Based Retrieval , 2000, VLDB.

[8]  Rakesh Agrawal,et al.  Continuous querying in database-centric Web applications , 2000, Comput. Networks.

[9]  Sharad Mehrotra,et al.  Efficient Query Refinement in Multimedia Databases , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

[10]  Amanda Spink,et al.  Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..

[11]  Bernard Mérialdo,et al.  Improving collaborative filtering with multimedia indexing techniques to create user-adapting Web sites , 1999, MULTIMEDIA '99.

[12]  Sharad Mehrotra,et al.  Query reformulation for content based multimedia retrieval in MARS , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[13]  Sharad Mehrotra,et al.  Similarity Search Using Multiple Examples in MARS , 1999, VISUAL.

[14]  Thomas S. Huang,et al.  Supporting Ranked Boolean Similarity Queries in MARS , 1998, IEEE Trans. Knowl. Data Eng..

[15]  Thomas S. Huang,et al.  Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..

[16]  Christos Faloutsos,et al.  MindReader: Querying Databases Through Multiple Examples , 1998, VLDB.

[17]  Amanda Spink,et al.  Human-computer interaction in information retrieval: nature and manifestations of feedback , 1998, Interact. Comput..

[18]  S. Sclaroff,et al.  ImageRover: a content-based image browser for the World Wide Web , 1997, 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries.

[19]  Serge J. Belongie,et al.  Region-based image querying , 1997, 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries.

[20]  Thomas S. Huang,et al.  Supporting content-based queries over images in MARS , 1997, Proceedings of IEEE International Conference on Multimedia Computing and Systems.

[21]  Paul Resnick,et al.  Recommender systems , 1997, CACM.

[22]  Thomas S. Huang,et al.  Automatic Matching Tool Selection Using Relevance Feedback In Mars , 1997 .

[23]  Rosalind W. Picard.  Computer learning of subjectivity , 1995, CSUR.

[24]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[25]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Other Conferences.

[26]  Ian H. Witten,et al.  Managing Gigabytes: Compressing and Indexing Documents and Images , 1999 .

[27]  Andreas Reuter,et al.  Transaction Processing: Concepts and Techniques , 1992 .

[28]  Leslie G. Valiant,et al.  A theory of the learnable , 1984, CACM.

[29]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[30]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .

[31]  Gerard Salton,et al.  The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .