In this reading group we present talks on topics related to Machine Learning, Computer Vision, topics beyond standard classroom setting or original research. It is meant to be a friendly, slightly informal environment where questions are encouraged at all points throught the talk. If you are interested in leading a discussion on a topic or giving a talk please email at cjtonde [at] cs [dot] rutgers [dot] edu.
If you want to be added to the reading group mailing list please do so at link below or send me an email.
https://email.rutgers.edu/mailman/listinfo/cs_gradcvml| Date | Leader | Topic | Comments |
| 17th, Feb 2011 | Chetan | Information-Theoretic Metric Learning, J. Davis, B. Kulis, et. al., | ICML 2008, CVPR best student paper |
| 24th, Feb 2011 | Chris | Sample-based Planning Methods for Continous Actions and States , Full version | ICAPS 2011 |
| 11th, March 2011 | Ali | A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian Tracking | IEEE Transactions on Signal Processing, 2002 |
| 24th March 2011 | Ari | Sample-based Planning Methods for Continous Actions and States | - |
Hilbert Space Embeddings of Hidden Markov Models , Le Song, Bryon Boots, Sajid Siddiqi, Geofrey Gordon, Alex Smola, ICML 2010.
Classification Semi-Riemannian Spaces , Deli Zhao, Zhouchen Lin,Xiaoou Tang, CVPR 2008
Learning Semi-Riemannian Metrics for Semi-Supervised Feature Extraction, Zhang Wei, Lin Zhouchen, Tang Xiaoou, KDE 2010