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ISLPED
1999
ACM
100views Hardware» more  ISLPED 1999»
14 years 1 months ago
Selective instruction compression for memory energy reduction in embedded systems
We propose a technique for reducing the energy required by rmware code to execute on embedded systems. The method is based on the idea of compressing the most commonly executed in...
Luca Benini, Alberto Macii, Enrico Macii, Massimo ...
ECML
2004
Springer
14 years 15 days ago
Justification-Based Selection of Training Examples for Case Base Reduction
Maintaining compact and competent case bases has become a main topic of Case Based Reasoning (CBR) research. The main goal is to obtain a compact case base (with a reduced number o...
Santiago Ontañón, Enric Plaza
WSCG
2003
151views more  WSCG 2003»
13 years 10 months ago
Large Model Visualization: Techniques and Applications
The visual representation of complex data has always been a major motivation for computer graphics. However, there have always been computer graphics scenes which were too complex...
Dirk Bartz
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
13 years 7 months ago
Sparse Unsupervised Dimensionality Reduction Algorithms
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
ICCAD
2001
IEEE
111views Hardware» more  ICCAD 2001»
14 years 5 months ago
A Trajectory Piecewise-Linear Approach to Model Order Reduction and Fast Simulation of Nonlinear Circuits and Micromachined Devi
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
Michal Rewienski, Jacob White