2009 spie hmm
Introduction to TreeNet (2004)
2007 FR Chapter1-Libre
Feature/Model Selection by Linear Programming SVM, Combined with State-of-Art Classifiers: What Can We Learn About the Data Erinija Pranckeviciene, Ray.
IIIT Hyderabad Word Recognition of Indic Scripts Naveen TS CVIT IIIT Hyderabad.
1 Optimizing number of hidden neurons in neural networks Janusz A. Starzyk School of Electrical Engineering and Computer Science Ohio University Athens.
PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang1;2, Manohar Paluri1, Marc’Aurelio Ranzato1, Trevor Darrell2, Lubomir Bourdev1 1: Facebook.
Multi-Task Learning for HIV Therapy Screening Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer.
An Approximate Nearest Neighbor Retrieval Scheme for Computationally Intensive Distance Measures Pratyush Bhatt MS by Research(CVIT)
An Approximate Nearest Neighbor Retrieval Scheme for Computationally Intensive Distance Measures
5 . Machine Learning