We investigate how to effectively incorporate spatial structure information into histogram features for boosting visual classification performance motivated by recently proposed M...
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
A mathematical programming formulation is proposed to eliminate irrelevant and redundant features for collaborative computer aided diagnosis which requires to detect multiple clin...
SenseCam is an automatic wearable camera, often seen as a tool for the creation of digital memories. In this paper, we report findings from a field trial in which SenseCams were w...
Abstract--This paper proposes a robust single-image super-resolution method for enlarging low quality web image/video degraded by downsampling and compression. To simultaneously im...