References

Learning from Unlabeled Examples

• Behzad M. Shahshahani and David A. Landgrebe, "The Effect of Unlabeled Samples in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon," IEEE Transactions on Geoscience and Remote Sensing, Vol. 32, No. 5, pp 1087-1095, September 1994. Original copy. Local copy.
• Shumeet Baluja. NIPS-98 Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data . Original copy. Local copy.

Large Margin Classifiers

• Llew Mason, Peter Bartlett and Jonathan Baxter. Improved generalization through explicit optimization of margins. Technical Report, Deparment of Systems Engineering, Australian National University, 1998. Original copy. Local copy.
• Llew Mason, Peter Bartlett and Jonathan Baxter. Direct optimization of margins improves generalization in combined classifiers. Technical Report, Deparment of Systems Engineering, Australian National University, 1998. (Also NIPS 98.) Original copy. Local copy.

Multiple Instance Learning

• Oded Maron
• Oded's NRefs
• Paper from Raúl E. Valdés-Pérez on Profiling

Image Retrieval

Nuno Vasconcelos

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Misc & Unclassified Papers / Links

• Compression Info
• Conference List
• Conference Deadlines
• Software Info
• Rendering Info
• Learning Curves
• Refs 1
• Refs 2
• Papers
• Faces
• SVM
• Unlabeled Data
• Boosting
• Local Paper Copies

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E-mail: chuck@cs.cmu.edu -- First Edition: 1/6/99 -- Last Update: 3/22/99