This paper describes an efficient framework for image-based granulometry, which provides three main contributions. First, unlike most of the existing work on particle delineation,...
We present a method, adapted to polymorphically typed functional languages, to detect and collect more garbage than existing GCs. It can be applied to strict or lazy higher order ...
CT This paper presents a rapid detecting method to tell the external contours from internal ones, and adopt an aid measure of adding 'black points" . These two methods re...
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
We demonstrate that the browser implementation used at a host can be passively identified with significant precision and recall, using only coarse summaries of web traffic to and f...
Ting-Fang Yen, Xin Huang, Fabian Monrose, Michael ...