We investigate instruction distribution methods for quadcluster, dynamically-scheduled superscalar processors. We study a variety of methods with different cost, performance and c...
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, A...
Similarity search has been widely studied in peer-to-peer environments. In this paper, we propose the Bounded Locality Sensitive Hashing (Bounded LSH) method for similarity search...
Existing 3D sketching methods typically allow the user to draw in empty space which is imprecise and lacks tactile feedback. We introduce a shape-stamping interface where users ca...
Manfred Lau, Masaki Hirose, Akira Ohgawara, Jun Mi...
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...