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» Learning for stochastic dynamic programming
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IISWC
2008
IEEE
15 years 3 months ago
Accelerating multi-core processor design space evaluation using automatic multi-threaded workload synthesis
The design and evaluation of microprocessor architectures is a difficult and time-consuming task. Although small, handcoded microbenchmarks can be used to accelerate performance e...
Clay Hughes, Tao Li
CHI
2004
ACM
15 years 2 months ago
Topobo: a constructive assembly system with kinetic memory
We introduce Topobo, a 3D constructive assembly system embedded with kinetic memory, the ability to record and playback physical motion. Unique among modeling systems is Topoboʼs...
Hayes Raffle, Amanda J. Parkes, Hiroshi Ishii
CVPR
2005
IEEE
15 years 11 months ago
Bi-Layer Segmentation of Binocular Stereo Video
This paper describes two algorithms capable of real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/co...
Vladimir Kolmogorov, Antonio Criminisi, Andrew Bla...
82
Voted
ICS
2009
Tsinghua U.
15 years 4 months ago
Adagio: making DVS practical for complex HPC applications
Power and energy are first-order design constraints in high performance computing. Current research using dynamic voltage scaling (DVS) relies on trading increased execution time...
Barry Rountree, David K. Lowenthal, Bronis R. de S...
CDC
2008
IEEE
15 years 4 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew