Traffic sign detection is considered as one of the active research topics in transportation and
computer vision. The previous works mainly focus on detecting traffic signs in images or in …

In this paper, we present a new image segmentation method based on the concept of sparse
subset selection. Starting with an over-segmentation, we adopt local spectral histogram …

Sparse representation is considered as a viable solution to visual tracking. In this study, the
authors proposed a structured group local sparse tracker (SGLST), which exploits the local …

Sparse representation is a viable solution to visual tracking. In this paper, we propose a
structured multi-task multi-view tracking (SMTMVT) method, which exploits the sparse …

A new sequential algorithm and computational results for large-scale linear programs with a
special structure were presented previously by JB Rosen and S. Oh (1992). A parallel …

This dissertation is concerned with modeling fundamental and challenging machine
learning tasks as convex/non-convex optimization problems and designing a mechanism …

Sparse representation has recently been successfully applied in visual tracking. It utilizes a
set of templates to represent target candidates and find the best one with the minimum …