Topic

Harish Bhaskar

Also published under:H. G. Bhaskar, H. Bhaskar

Affiliation

Zero One Infinity Consulting Service Ltd., Mississauga, Canada

Topic

Bounding Box,Illumination Variations,Low-rank Representation,Objective Function,Benchmark Datasets,Canonical Correlation Analysis,Clustering Performance,Constraint Term,Dictionary Learning,Gesture Recognition,Hand Gestures,Light Source,Low-dimensional Representation,Original Features,Robust Tracking,Spectral Clustering,Subspace Clustering,Tracking Algorithm,Trade-off Parameter,Training Set,Video Sequences,Ambient Light,Annotated Training Data,Annotation Data,Appearance Variations,Automatic Annotation,Background Clutter,Baseline Algorithms,Baseline Detection,Camera Images,Changes In Appearance,Classification Task,Clustering Algorithm,Clustering Approach,Clustering Results,Clustering Task,Coefficient Matrix,Color Correction,Color Space,Complex Background,Computational Complexity Analysis,Consecutive Frames,Conventional Camera,Convergence Condition,Convolutional Neural Network,Crowd Behavior,Current Frame,Deep Learning Architectures,Detection Of Elements,Dimensionality Reduction,

Biography

Harish Bhaskar received the Ph.D. degree in computer science from Loughborough University, Loughborough, U.K., in 2007.
He was a Research Associate with the University of Manchester, Manchester, U.K., and Lancaster University, Bailrigg, U.K. He is currently an Assistant Professor with the Visual Signal Analysis and Processing Research Center, Khalifa University of Science Technology and Research, Abu Dhabi, United Arab Emirates. His current research interests include computer vision, image processing, visual data mining, medical imaging, quantum information, and machine vision.