Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Background: The Gene Ontology (GO) is a well known controlled vocabulary describing the biological process, molecular function and cellular component aspects of gene annotation. I...
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...
Current research on image quality assessment tends to include visual attention in objective metrics to further enhance their performance. A variety of computational models of visu...