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» Predicting relative performance of classifiers from samples
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MICRO
2010
IEEE
173views Hardware» more  MICRO 2010»
13 years 7 months ago
Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?
To extend the exponential performance scaling of future chip multiprocessors, improving energy efficiency has become a first-class priority. Single-chip heterogeneous computing ha...
Eric S. Chung, Peter A. Milder, James C. Hoe, Ken ...
CAV
2009
Springer
187views Hardware» more  CAV 2009»
14 years 9 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann
ECCV
2000
Springer
14 years 11 months ago
Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns
This paper presents a theoretically very simple yet efficient approach for gray scale and rotation invariant texture classification based on local binary patterns and nonparametric...
Timo Ojala, Matti Pietikäinen, Topi Mäen...
SAC
2008
ACM
13 years 8 months ago
Author identification using writer-dependent and writer-independent strategies
In this work we discuss author identification for documents written in Portuguese. Two different approaches were compared. The first is the writer-independent model which reduces ...
Daniel Pavelec, Edson J. R. Justino, Leonardo Vida...
ROCAI
2004
Springer
14 years 2 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer