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NOUMAN QADEER SOOMRO

NOUMAN QADEER SOOMRO

NOUMAN QADEER SOOMRO

Editor-in-chief

Beijing Institute of Technology

China

 
 

Biography

As a computer vision/data mining and machine learning researcher, He developed methods and new schemes to improve the shape based image retrieval and clustering with post-processing manifold learning methods by proposing and publishing papers in international conferences and journals.

 

Research Interest

Research, teaching, artificial intelligence, computer vision/data mining, machine learning, deep learning, manifold learning, probabilistic graphical models, image retrieval, image clustering, supervised and unsupervised learning, shape based feature extraction, image classification, programming in MATLAB.