Scene modeling using co-clustering

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Liu, Jingen ^a   Shah, Mubarak ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CO-CLUSTERING;

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLUSTERING ALGORITHMS; COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING; INFORMATION THEORY; SEMANTICS;

FLOW OF SOLIDS;

EID: 50649105931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408866     Document Type: Conference Paper

References (23)

1. D. Blei, A. Ng and M. Jordan. "Latent Dirichlet Allocation". Journal of Machine Learning Research, 3:993-1022, 2003.
2. A. Bosch, A. Zisserman and X. Munoz. "Scene Classification via pLSA", ECCV 2006.
3. G. Csurka, C. Bray, C. Dance, and L. Fan. "Visual Categorization with Bags of Keypoints", ECCV 2004.
4. I. S. Dhillon, S. Mallela and D. S. Modha. "Information-Theoretic Co-clustering", ACM SIGKDD 2003.
5. L. Fei-Fei and P. Perona. "A Bayesian Hierarchical Model for Learning Natural Scene Categories". CVPR 2005.
6. S. Gordon, H. Greenspan and J. Goldberger. "Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continues Image Representation", ICCV, 2003.
7. T. Hofmann. "Unsupervised Learning by Probabilistic Latent Semantic Analysis". Machine Learning, 42, 177-196, 2001.
8. W. H. Hsu, L. S. Kennedy and S. Chang. "Video Search Reranking via Information Bottleneck Principle". ACM MM 2006.
9. D. G. Lowe. "Distinctive Image Features from scale-invariant keypoints". IJCV, 60(2):91-110,2004.
10. F. Jurie and B. Triggs. "Creating Efficient Codebooks for Visual Recognition", ICCV, 2005.
11. A. Kaban and M. A. Girolami. "Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus", Neural Processing Letters 15: 31-43, 2002.
12. S. Lazebnik, C. Schmid and J. Ponce. "Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories", CVPR, 2006.
13. E. Nowak, B. Triggs and F. Jurie. "Sampling Strategies for Bag-of-Features Image Classification", ECCV, 2006.
14. A. Oliva and A. Torralba. "Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope". ICCV, 2001.
15. P. Quelhas, F. Monay, J.-M Odobez, D. Gatica-Perez, T. Tuytelaars and L. Van Gool. "Modeling Scenes with Local Descriptors and Latent Aspects". ICCV, 2005.
16. A.W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. "Content-based Image Retrieval at the End of the Early Years". PAMI, 22(12):1349-1380,2000.
17. S. Savarese, J. Winn and A. Criminisi. "Discriminative Object Class Models of Appearance and Shape by Correlatons", CVPR 2006.
18. J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman and W. T. Freeman. "Discovering Objects and Their Location in Images ". ICCV, 2005.
19. N. Slonim and N. Tishby. "Document clustering using word clusters via the information bottleneck method",ACM SIGIR 2000.
20. A. Vailaya, A. T. Figueiredo, A. K. Jain and H.J. Zhang. "Image Classification for Content-Based Indexing". IEEE Transantions on Image Processing, Vol. 10, No. 1, January 2001.
21. J. Vogel and B. Schiele. "Natural Scene Retrieval Based on a Semantic Modeling Step". CIVR 2004.
22. M. Varma and A. Zisserman. "A statistical approach to texture classification from single images". IJCV, 62:61-81, Apr. 2005.
23. J. Winn, A. Criminisi and T. Minka. "Object Categorization by Learned Universal Visual Dictionary", ICCV 2005.