Publications
Refereed Book Chapters
18. R. Datta, J. Hu, and B. Ray, Sequence Mining for Business Analytics: Building Project Taxonomies for Resource Demand Forecasting, Data Mining for Business, IOS Press, 2008. (to appear) [IOS 2008]
Refereed Journal Papers
17. R. Datta, D. Joshi, J. Li, and J. Z. Wang, Image Retrieval: Ideas, Influences, and Trends of the New Age, ACM Computing Surveys, vol. 40, no. 2, 2008. (to appear) [CSUR 2008] 16. R. Datta, W. Ge, J. Li, and J. Z. Wang, Toward Bridging the Annotation-Retrieval Gap in Image Search, IEEE Multimedia: Special Issue on Advances in Multimedia Computing, vol. 14, no. 3, pp. 24-35, 2007. [IEEE-MM 2007]
Refereed Conference Papers
15. R. Datta, J. Li, and J. Z. Wang, Algorithmic Inferencing of Aesthetics and Emotion in Natural Images: An Exposition, Proc. IEEE ICIP, Special Session on Image Aesthetics, Mood and Emotion, San Diego, CA, 2008. [ICIP 2008] 14. R. Datta, J. Hu, and B. Ray, On Efficient Viterbi Decoding for Hidden semi-Markov Models, Proc. IEEE ICPR (Oral), Tampa, FL, 2008.
(Acceptance rate: 18%) [ICPR 2008] 13. R. Datta and M. Bern, Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing, Proc. RECOMB, Singapore, 2008.
(Acceptance rate: 18%) [RECOMB 2008] 12. A. Das, R. Datta, A. Sivasubramaniam, and B. Urgaonkar, Predicting Web Cache Behavior Using Stochastic State-Space Models, Proc. International Workshop on Scalable Data Management Applications and Systems, Las Vegas, NV, 2008.
(Acceptance rate: 29%) [SDMAS 2008]11. R. Datta, D. Joshi, J. Li, and J. Z. Wang, Tagging over Time: Real-world Image Annotation by Lightweight Meta-learning, Proc. ACM Multimedia, Augsburg, Germany, 2007. (Acceptance rate: 17%) [MM 2007] [PPT] 10. R. Datta, J. Li, and J. Z. Wang, Learning the Consensus on Visual Quality for Next-Generation Image Management, Proc. ACM Multimedia, Augsburg, Germany, 2007. (Acceptance rate: 27%) [MM 2007] [PPT] 9. R. Datta, J. Hu, and B. Ray, Sequence Mining for Business Analytics: Building Project Taxonomies for Resource Demand Forecasting, Proc. Workshop on Data Mining for Business, PAKDD, Nanjing, 2007. [PAKDD-W 2007] 8. R. Datta, W. Ge, J. Li, and J. Z. Wang, Toward Bridging the Annotation-Retrieval Gap in Image Search by a Generative Modeling Approach, Proc. ACM Multimedia, Santa Barbara, CA, 2006. (Acceptance rate: 16%) [MM 2006] [PPT] 7. D. Joshi, R. Datta, Z. Zhuang et al., PARAgrab: A Comprehensive Architecture for Web Image Management and Multimodal Querying, Proc. VLDB, Seoul, 2006. (Demo Paper) (Acceptance rate: 34%) [VLDB 2006] 6. R. Datta, D. Joshi, J. Li, and J. Z. Wang, Studying Aesthetics in Photographic Images Using a Computational Approach, Proc. ECCV, Graz (Austria), 2006.
(Acceptance rate: ~21%) [ECCV 2006] 5. R. Datta, J. Li, and J. Z. Wang, IMAGINATION: A Robust Image-based CAPTCHA Generation System, Proc. ACM Multimedia, Singapore, 2005.
(Acceptance rate: ~29%) [MM 2005] 4. R. Datta, J. Li, and J. Z. Wang, Content-Based Image Retrieval - Approaches and Trends of the New Age, Proc. Intl. Workshop on Multimedia Information Retrieval, ACM Multimedia, Singapore, 2005. [MIR 2005] [PPT] 3. A. Parulekar, R. Datta, J. Li, and J. Z. Wang, Large-scale Satellite Image Browsing using Automatic Semantic Categorization and Content-based Retrieval, Proc. Workshop on Semantic Knowledge in Computer Vision, ICCV, Beijing, 2005.
[ICCV-W 2005] [PPT]
Technical Reports
2. R. Datta, J. Li, and J. Z. Wang, Exploiting the Human-Machine Gap in Image Recognition for Designing CAPTCHAs, Penn State University Technical Report CSE 08-011, 2008. [PSU-1 2008] 1. R. Datta, J. Li, A. Parulekar, and J. Z. Wang, Scalable Remotely Sensed Image Mining Using Supervised Learning and Content-based Retrieval, Penn State University Technical Report CSE 06-019, 2006. [PSU-1 2006]