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» Reducing the Knowledge Tracing Space
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MMB
2012
Springer
259views Communications» more  MMB 2012»
12 years 3 months ago
Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
Ralf Jahr, Horia Calborean, Lucian Vintan, Theo Un...
OSDI
1996
ACM
13 years 9 months ago
A Trace-Driven Comparison of Algorithms for Parallel Prefetching and Caching
High-performance I/O systems depend on prefetching and caching in order to deliver good performance to applications. These two techniques have generally been considered in isolati...
Tracy Kimbrel, Andrew Tomkins, R. Hugo Patterson, ...
IPPS
2007
IEEE
14 years 1 months ago
Stack Trace Analysis for Large Scale Debugging
We present the Stack Trace Analysis Tool (STAT) to aid in debugging extreme-scale applications. STAT can reduce problem exploration spaces from thousands of processes to a few by ...
Dorian C. Arnold, Dong H. Ahn, Bronis R. de Supins...
ICPR
2008
IEEE
14 years 2 months ago
Human detection by searching in 3d space using camera and scene knowledge
Many existing human detection systems are based on sub-window classification, namely detection is done by enumerating rectangular sub-images in the 2D image space. Detection rate...
Yuan Li, Bo Wu, Ram Nevatia
SIAMJO
2010
127views more  SIAMJO 2010»
13 years 2 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye