Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
Network-on-chip (NoC) has been proposed as a solution for the communication challenges of System-on-chip (SoC) design in the nanoscale regime. SoC design offers the opportunity fo...
Krishnan Srinivasan, Karam S. Chatha, Goran Konjev...
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Instruction-grain program monitoring tools, which check and analyze executing programs at the granularity of individual instructions, are invaluable for quickly detecting bugs and...
Shimin Chen, Michael Kozuch, Theodoros Strigkos, B...
Finite-state technology is considered the preferred model for representing the phonology and morphology of natural languages. The attractiveness of this technology for natural lang...