An Overview of Advances of Pattern Recognition Systems in Computer Vision (PDF) Foundations for Complex Systems Research in the Physical Sciences and Engineering (PDF)
Seminar Schedule (PDF)*
*October 14th class is at 1:00-3:00pm
List of Seminar Papers:
1. Learning Non-Redundant Codebooks for Classifying Complex Objects - ICML 2009 (PDF)
2. Active Learning for Directed Exploration of Complex Systems - ICML 2009. (PDF)
3. Simple Local Models for Complex Dynamical Systems - NIPS 2008. (PDF)
4. Conditional Topic Random Fields - ICML 2010. (PDF)
5. Spherical Topic Models - ICML 2010. (PDF)
6. Unsupervised image segmentation with a simple MRF model with a new implementation scheme - ICPR 2004 (PDF)
7. Learning Deep Energy Models – ICML2011 (PDF)
8. Learning Deep Architectures for AI - Foundations and Trends in Machine Learning 2009 (PDF)
9. Learning Deep Generative Models - PhD thesis of Ruslan Salakhutdinov (PDF)
10. Bayesian Co-training – NIPS 2008 (PDF)
11. Self-taught learning: transfer learning from unlabeled data - ICML 2007 (PDF)
12. A Survey on Transfer Learning- Knowledge and Data Engineering 2010 (PDF)
13. Dynamic Bayesian Networks: Representation, Inference and Learning – PhD thesis of Kevin Murphy (PDF)
