Search Results for author: M. M . Rahman

Found 2 papers, 0 papers with code

Learnt dynamics generalizes across tasks, datasets, and populations

no code implementations4 Dec 2019 U. Mahmood, M. M . Rahman, A. Fedorov, Z. Fu, V. D. Calhoun, S. M. Plis

Differentiating multivariate dynamic signals is a difficult learning problem as the feature space may be large yet often only a few training examples are available.

Capturing and Recognizing Objects Appearance Employing Eigenspace

no code implementations25 Mar 2014 M. Ashrafuzzaman, M. M . Rahman, M. M. A. Hashem

This paper presents a method of capturing objects appearances from its environment and it also describes how to recognize unknown appearances creating an eigenspace.

Cannot find the paper you are looking for? You can Submit a new open access paper.