Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
The issue of Automatic Relevance Determination (ARD) has attracted attention over the last decade for the sake of efficiency and accuracy of classifiers, and also to extract knowle...
This paper presents novel double sampling high order single-loop sigma-delta modulator structures for wideband applications. To alleviate the quantization noise folding into the i...
A complexity-constrained inter-mode decision algorithm for H.264/AVC video coding is developed using a rate-distortioncomplexity (RDC) optimization framework in this work. The pro...
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...