A visual analytics approach to model learning

VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings

Volumn , Issue , 2010, Pages 67-74

  Garg, Supriya ^a   Ramakrishnan, I V ^a   Mueller, Klaus ^a  

^a Stony Brook University   (United States)

Author keywords

Data clustering; Human Computer interaction; Visual knowledge discovery; Visual knowledge representation

Indexed keywords

ABSTRACT LEVELS; ASSISTIVE; DATA CLUSTERING; DATA ITEMS; FEATURE VECTORS; LEARNING MODELS; MODEL INITIALIZATION; MODEL LEARNING; NODE-LINK DIAGRAMS; NON-TRIVIAL; USER ASSISTANCE; USER INPUT; VISUAL ANALYTICS; VISUAL KNOWLEDGE; VISUAL KNOWLEDGE DISCOVERY; VISUALIZATION SYSTEM;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DATA VISUALIZATION; GRAPHICAL USER INTERFACES; HIDDEN MARKOV MODELS; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; VECTORS; VISUALIZATION;

KNOWLEDGE REPRESENTATION;

EID: 78650947238     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2010.5652484     Document Type: Conference Paper

References (20)

1. G. Andrienko, N. Andrienko, S. Rinzivillo, M. Nanni, D. Pedreschi and F. Giannotti. Interactive visual clustering of large collections of trajectories. Proc. IEEE Symp. Visual Analytics Science and Technology (VAST), pp. 3-10, 2009.
2. P. Berkhin. A survey of clustering data mining techniques. Grouping Multidimensional Data. pp. 25-71, 2006.
3. P. Crossno, D. Dunlavy, T.Shead. LSAView: A Tool for Visual Exploration of Latent Semantic Modeling. Proc. IEEE Symp. Visual Analytics Science and Technology (VAST), pp. 83-90, 2009.
4. I.S. Dhillon, D.S. Modha and W.S. Spangler. Class visualization of high-dimensional data with applications. Computational Statistics and Data Analysis. 41(1): 59-90, 2002.
5. S.V. Dongen. Graph clustering by flow simulation. PhD Thesis, University of Utrecht, The Netherlands. 2000.
6. S. Garg, J.E. Nam, I.V. Ramakrishnan, K. Mueller. Model-Driven Visual Analytics. Proc. IEEE Symp. Visual Analytics Science and Technology (VAST), pp. 19-26, 2008.
7. J. Heer, S. Card, J.A. Landay. Prefuse: a toolkit for interactive information visualization. Proc. SIGCHI Conference on Human Factors in Computing Systems, pp. 421-430, 2005.
8. A. Hinneburg, D. Keim, M. Wawryniuk. HD-Eye: Visual mining of high-dimensional data. IEEE Computer Graphics and Applications. 19(5): 22-31, 1999.
9. F. Janoos, S. Singh, O. Irfanoglu, R. Machiraju, R. Parent. Activity Analysis Using Spatio-Temporal Trajectory Volumes in Surveillance Applications. Proc. IEEE Symp. Visual Analytics Science and Technology (VAST), pp. 3-10, 2007.
10. J. Jiten, B. Merialdo. Semantic Image Segmentation with a Multidimensional Hidden Markov Model. Advances in Multimedia Modeling. 4351: 616-624, 2007.
11. J.B. Kruskal and M. Wish. Multidimensional scaling. Sage Publications, Inc. 1978.
12. J. Li, A. Najmi, R. Gray. Image classification by a two-dimensional hidden Markov model. IEEE Trans. on Signal Processing. 48(2): 517-533, 2000.
13. J.U. Mahmud, Y. Borodin, I.V. Ramakrishnan. Csurf: a context-driven non-visual web-browser. Proc. 16th International Conference on World Wide Web, pp. 31-40, 2007.
14. Y. Mao, J. Dillon. G. Lebanon. Sequential Document Visualization. IEEE Trans. on Visualization and Computer Graphics. 13(6): 1208-1215, 2007.
15. L.R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE. 77(2): 257-286, 1989.
16. R. Raina, A. Battle, H. Lee, B. Packer, A. Ng. Self-taught learning: transfer learning from unlabeled data. Proc. 24th International Conference on Machine Learning, pp. 766, 2007.
17. T. Schreck, J. Bernard, T. Tekusova, J. Kohlhammer. Visual cluster analysis of trajectory data with interactive Kohonen maps. Proc. IEEE Symp. Visual Analytics Science and Technology (VAST), pp. 3-10, 2008.
18. A. Vinciarelli, S. Favre. Broadcast News Story Segmentation using Social Network Analysis and Hidden Markov Models. Proc. 15th International Conference on Multimedia, pp. 264-267, 2007.
19. K.B. Zhang, M. Huang, M. Orgun, Q. Nguyen. A Visual Method for High-Dimensional Data Cluster Exploration. Proc.16th International Conference on Neural Information Processing, pp. 699-709, 2009.
20. X. Zhu. Semi-Supervised Learning Literature Survey. Technical Report 1530, 2005.