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CF
2010
ACM
14 years 1 months ago
Interval-based models for run-time DVFS orchestration in superscalar processors
We develop two simple interval-based models for dynamic superscalar processors. These models allow us to: i) predict with great accuracy performance and power consumption under va...
Georgios Keramidas, Vasileios Spiliopoulos, Stefan...
CORR
2010
Springer
190views Education» more  CORR 2010»
13 years 9 months ago
Bidimensionality and EPTAS
Bidimensionality theory appears to be a powerful framework for the development of metaalgorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
Fedor V. Fomin, Daniel Lokshtanov, Venkatesh Raman...
BMCBI
2006
117views more  BMCBI 2006»
13 years 8 months ago
The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees
Background: Computing exact multipoint LOD scores for extended pedigrees rapidly becomes infeasible as the number of markers and untyped individuals increase. When markers are exc...
Cornelis A. Albers, Martijn A. R. Leisink, Hilbert...
ECCV
2006
Springer
14 years 10 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum