Student Projects:
- Bornika Ghosh and Andrew Parker, Epitope Classification Using Support Vector Machines.
- Chrisil Arackaparambil and Ashok Chandrashekhar, Object Categorization Using Spatial-Temporal Features.
- Eric Trautmann, Proprioceptive Obstacle Recognition using Hidden Markov Models for Mobile Robot Navigation.
- Hong Lu and Dan Peebles, Indoor Location Recognition.
- Jason Victor, Predicting Excess Equity Returns from Company Fundamentals.
- Abhijeet Jha, Support Vector Machines for Face Recognition.
- John Eikens, Personalized RSS Feed Aggregation using Support Vector Machines.
- Karn Seth, Digg Analysis.
- Lu He and Tuobin Wang, Multi-class Object Categorization in Images.
- Nic Lane, Spoken Word Project.
- Geethmala Sridaran and Nimit Dhulekar, Object Recognition and Tracking in Video Sequences.
- Peng Ding and Tao Mao, Reinforcement Learning in Tic-Tac-Toe Game and Its Similar Variations.
- Qi Gu, Region-based Image Classification.
- Ray Di Ciaccio and Yoon-ki Park, Classifying Inrush Currents for Device Identification.
- Rong Yang, Training Conditional Random Fields using Virtual Evidence Boosting.
- Shaohan Hu and Mu Lin, Information Classification.
- Xiaoyu(Sarah) Zhao, Audio Source Separation.
- Yiming Qi and Zhiyuan(Jack) Zhang, Learning to Classify and Forecast Telemarketing Phone Numbers.