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» Kernels for Semi-Structured Data
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116
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CORR
2002
Springer
144views Education» more  CORR 2002»
15 years 18 days ago
Polynomial Time Data Reduction for Dominating Set
Dealing with the NP-complete Dominating Set problem on graphs, we demonstrate the power of data reduction by preprocessing from a theoretical as well as a practical side. In parti...
Jochen Alber, Michael R. Fellows, Rolf Niedermeier
77
Voted
ISCA
2008
IEEE
113views Hardware» more  ISCA 2008»
15 years 7 months ago
Running a Quantum Circuit at the Speed of Data
We analyze circuits for a number of kernels from popular quantum computing applications, characterizing the hardware resources necessary to take ancilla preparation off the critic...
Nemanja Isailovic, Mark Whitney, Yatish Patel, Joh...
93
Voted
IPPS
2007
IEEE
15 years 7 months ago
Speedups and Energy Savings of Microprocessor Platforms with a Coarse-Grained Reconfigurable Data-Path
This paper presents the performance improvements and the energy reductions by coupling a highperformance coarse-grained reconfigurable data-path with a microprocessor in a generic...
Michalis D. Galanis, Grigoris Dimitroulakos, Costa...
83
Voted
CLUSTER
2008
IEEE
15 years 7 months ago
SPRAT: Runtime processor selection for energy-aware computing
—A commodity personal computer (PC) can be seen as a hybrid computing system equipped with two different kinds of processors, i.e. CPU and a graphics processing unit (GPU). Since...
Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi
80
Voted
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 7 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar