Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Our study addresses the problem of large-scale contradiction detection and management, from data extracted from the Web. We describe the first systematic solution to the problem,...
In designing dynamic situations such as cyberworlds, we the Incrementally Modular Abstraction Hierarchy (IMAH) to be an appropriate mathematical background to model dynamically ch...
— We propose an approach for acquiring geometric 3D models using cameras mounted on autonomous vehicles and robots. Our method uses structure from motion techniques from computer...
Enrique Dunn, Jur P. van den Berg, Jan-Michael Fra...
One of the most important steps in web crawling is determining the starting points, or seed selection. This paper identifies and explores the problem of seed selection in webscal...