— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Model driven development (MDD) of software product lines (SPLs) merges two increasing important paradigms that synthesize programs by transformation. MDD creates programs by transf...
Greg Freeman, Don S. Batory, R. Greg Lavender, Jac...
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...