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135
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ICASSP
2011
IEEE
14 years 6 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa
126
Voted
DAC
2002
ACM
16 years 3 months ago
A universal technique for fast and flexible instruction-set architecture simulation
In the last decade, instruction-set simulators have become an essential development tool for the design of new programmable architectures. Consequently, the simulator performance ...
Achim Nohl, Gunnar Braun, Oliver Schliebusch, Rain...
98
Voted
BMCBI
2008
77views more  BMCBI 2008»
15 years 2 months ago
SeqAn An efficient, generic C++ library for sequence analysis
Background: The use of novel algorithmic techniques is pivotal to many important problems in life science. For example the sequencing of the human genome [1] would not have been p...
Andreas Döring, David Weese, Tobias Rausch, K...
ICCV
2007
IEEE
16 years 4 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
CCGRID
2009
IEEE
15 years 6 months ago
Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing
In large-scale clusters and computational grids, component failures become norms instead of exceptions. Failure occurrence as well as its impact on system performance and operatio...
Song Fu