With the scaling of technology and higher requirements on performance and functionality, power dissipation is becoming one of the major design considerations in the development of...
Jia Yu, Wei Wu, Xi Chen, Harry Hsieh, Jun Yang 000...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
The goal of points-to analysis for Java is to determine the set of objects pointed to by a reference variable or a reference object field. This information has a wide variety of ...
This paper introduces a flexible code generation framework dedicated to the design of application specific programmable processors. This tool allows the user to build specific com...
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff