Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Fundamental to the design of visual languages are the goals of facilitating communication between people and computers, and between people and other people. The Object Block Progr...
Jason E. Robbins, David J. Morley, David F. Redmil...
from Abstract Data to Naturalistic Visual Structure A. Loizides and M.Slater Department of Computer Science, University College London (UCL), London, UK This paper demonstrates a ...
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...