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CVPR
2012
IEEE
13 years 11 months ago
Stream-based Joint Exploration-Exploitation Active Learning
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,...
157
Voted
ICCD
2004
IEEE
122views Hardware» more  ICCD 2004»
16 years 3 months ago
Linear Programming based Techniques for Synthesis of Network-on-Chip Architectures
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...
143
Voted
ICASSP
2008
IEEE
16 years 25 days ago
Discriminative training by iterative linear programming optimization
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...
Brian Mak, Benny Ng
ISCA
2008
IEEE
109views Hardware» more  ISCA 2008»
16 years 24 days ago
Flexible Hardware Acceleration for Instruction-Grain Program Monitoring
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...
CICLING
2007
Springer
16 years 17 days ago
Finite-State Technology as a Programming Environment
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...
Shuly Wintner