A multi-class kernel alignment method for image collection summarization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5856 LNCS, Issue , 2009, Pages 545-552

  Camargo, Jorge E ^a   González, Fabio A ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

Clustering; Image collection summarization; Information visualization; Multi class kernel alignment

Indexed keywords

ALIGNMENT METHODS; CLASS LABELS; CLUSTERING; DOMAIN KNOWLEDGE; IMAGE COLLECTION SUMMARIZATION; IMAGE COLLECTIONS; INFORMATION VISUALIZATION; KERNEL FUNCTION; MULTI-CLASS; QUALITY MEASURES;

CLUSTERING ALGORITHMS; COMPUTER APPLICATIONS; COMPUTER VISION; INFORMATION ANALYSIS; INFORMATION SYSTEMS; INFORMATION THEORY; VISUALIZATION;

ALIGNMENT;

EID: 78651262016     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10268-4_64     Document Type: Conference Paper

References (12)

1. Alpaydin, E.: Introduction to Machine Learning. MIT Press, Cambridge (2004)
2. Cai, D., He, X., Li, Z., Ma,W.-Y.,Wen, J.-R.: Hierarchical clustering of www image search results using visual, textual and link information. In: Proceedings of the 12th annual ACM international conference on Multimedia, pp. 952-959 (2004)
3. Chen, J.-Y., Bouman, C.A., Dalton, J.C.: Hierarchical browsing and search of large image databases. IEEE Transactions on Image Processing 9(3), 442-455 (2000)
4. Joshi, D., Li, J.,Wang, J.Z., Datta, R.: Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv. 40(2), 1-60 (2008)
5. Deng, D.: Content-based image collection summarization and comparison using selforganizing maps. Pattern Recognition 40(2), 718-727 (2007)
6. Gao, B., Liu, T.-Y., Qin, T., Zheng, X., Cheng, Q.-S., Ma, W.-Y.: Web image clustering by consistent utilization of visual features and surrounding texts. In: MULTIMEDIA 2005: Proceedings of the 13th annual ACM international conference on Multimedia, pp. 112-121. ACM, New York (2005)
7. Nguyen, G.P., Worring, M.: Interactive access to large image collections using similarity-based visualization. Journal of Visual Languages & Computing 19(2), 203-224 (2008)
8. Shawe Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge University Press, Cambridge (2004)
9. Simon, I., Snavely,N., Seitz, S.M.: Scene summarization for online image collections. In: IEEE 11th International Conference on Computer Vision, 2007 (ICCV 2007), pp. 1-8 (2007)
10. Stan, D., Sethi, I.K.: eid: a system for exploration of image databases. Inf. Process. Manage. 39(3), 335-361 (2003)
11. Torgerson, M.S.: Multidimensional scaling: I. theory and method. Psychometrika 17(4), 401-419 (1958)
12. Vert, R.: Designing a m-svm kernel for protein secondary structure prediction. Master's thesis, DEA informatique de Lorraine (2002)