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» Feature Selection through Dynamic Mesh Optimization
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ISLPED
2003
ACM
142views Hardware» more  ISLPED 2003»
15 years 2 months ago
Minimization of dynamic and static power through joint assignment of threshold voltages and sizing optimization
We describe an optimization strategy for minimizing total power consumption using dual threshold voltage (Vth) technology. Significant power savings are possible by simultaneous a...
David Nguyen, Abhijit Davare, Michael Orshansky, D...
ICML
2010
IEEE
14 years 10 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
93
Voted
OOPSLA
2010
Springer
14 years 8 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
ICPR
2008
IEEE
15 years 10 months ago
Fast and precise kinematic skeleton extraction of 3D dynamic meshes
Shape skeleton extraction is a fundamental preprocessing task in shape-based pattern recognition. This paper presents a new algorithm for fast and precise extraction of kinematic ...
Jean-Philippe Vandeborre, Julien Tierny, Mohamed D...
BMVC
1998
14 years 11 months ago
Choosing an Optimal Neural Network Size to aid a Search Through a Large Image Database
In this paper a fast method of selecting a neural network architecture for pattern recognition tasks is presented. We demonstrate that our proposed method of selecting both input ...
Kieron Messer, Josef Kittler