The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
Geography Markup Language (GML) is an XML-based language for the markup, storage, and exchange of geospatial data. It provides a rich geospatial vocabulary and allows flexible doc...
In this paper, we present ELIAD, an efficient lithography aware detailed router to optimize silicon image after optical proximity correction (OPC) in a correct-by-construction man...