CNEL Alumnus: Rosha Pokharel


Former student webpage:
About Me

I am currently a Ph.D. candidate in the fourth year of Ph.D. program. My dissertation title is ”Robust Kernel Adaptive Learning For Online Supervised Systems”
 
My Research Interests

Supervised machine learning methods for classification and regression, Adaptive Filters, Kernel Methods, Information theoretic learning.
 



Links

 
CNEL Papers
Dissertation
1Rosha Pokharel,"ROBUST KERNEL ADAPTIVE LEARNING FOR ONLINE SUPERVISED SYSTEMS", May 2014, University of Florida.(author PDF)
 
Journal Papers
1Rosha Pokharel, Sohan Seth, Jose C. Principe, "Mixture Kernel Least Mean Square: A Novel Multi-Kernel Adaptive Filter," Trans. on Signal Processing. (Submitted)
2Abhishek Singh, Rosha Pokharel, Jose C. Principe, "The C-loss function for pattern classification", Pattern Recognition, Vol. 47, No. 1, pp. 441-453, Jan. 2014,DOI:10.1016/j.patcog.2013.07.017 (author PDF)
 
Conference Papers
1Rosha Pokharel, Sohan Seth, Jose C. Principe, "Quantized Mixture Kernel Least Mean Square," Intl. Joint Conf. on Neural Networks.(Accepted) (author PDF)
2Rosha Pokharel, Sohan Seth, Jose C. Principe, "Mixture Kernel Least Mean Square", IJCNN, pp. 1-7, Aug. 2013,DOI:10.1109/IJCNN.2013.6706867 (author PDF)
3Rosha Pokharel, Jose C. Principe, "Kernel Classifier with Corretropy loss", IJCNN, pp. 1-6, 2012,DOI:10.1109/IJCNN.2012.6252721 (author PDF)
 

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