Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...
www.cbl.uh.edu The Computational Biomedicine Lab (CBL) was established in 1997 at the University of Houston and is committed to excellence in image analysis, with an emphasis on ap...
We show how the symmetry of motion can be extracted by using the Generalised Symmetry Operator for analysing motion and for gait recognition. This operator, rather than relying on...
James B. Hayfron-Acquah, Mark S. Nixon, John N. Ca...