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Theses


Full text of graduate theses written by the students of the Robust Image Understanding Laboratory.

Yoram Leedan, Ph.D., ECE Department, Rutgers, May 1997.
   Statistical analysis of quadratic problems in computer vision.

Dorin Comaniciu, Ph.D., ECE Department, Rutgers, January 2000.
   Nonparametric robust methods for computer vision.

Kun Xu, M.S., ECE Department, Rutgers, May 2000.
   Texture representations for content-based retrieval.

Bogdan Matei, Ph.D., ECE Department, Rutgers, May 2001.
   Heteroscedastic Errors-in-Variables Models in Computer Vision.

Bogdan Georgescu, Ph.D., CS Department, Rutgers, May 2004.
    Interpretation of the 3D Visual Environment from Uncalibrated Imagese Sequences.

Haifeng Chen, Ph.D., ECE Department, Rutgers, May 2004.
   Projection based Robust Estimators for Computer Vision.

Raghav Subbarao, Ph.D., ECE Department, Rutgers, May 2008.
    Robust Statistics Over Riemannian Manifolds for Computer Vision .

Oncel Tuzel, Ph.D., CS Department, Rutgers, October 2008.
    Learning on Riemannian Manifolds for Interpretation of Visual Environments .

Lin Yang, Ph.D., ECE Department, Rutgers, February 2009.
    Robust segmentation and object classification in natural and medical images. .

Sushil Mittal, Ph.D., ECE Department, Rutgers, September 2011.
    User-Independent Robust Statistics for Computer Vision .

Saket Anand, Ph.D., ECE Department, Rutgers, June 2013.
    Robust Methods for Multiple Model Discovery in Structured and Unstructured Data .