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» Methods for true power minimization
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ICASSP
2010
IEEE
13 years 7 months ago
Fast semi-supervised image segmentation by novelty selection
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
António R. C. Paiva, Tolga Tasdizen
BMCBI
2006
119views more  BMCBI 2006»
13 years 7 months ago
Evaluation of microarray data normalization procedures using spike-in experiments
Background: Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-ca...
Patrik Rydén, Henrik Andersson, Mattias Lan...
BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
ICCAD
2006
IEEE
103views Hardware» more  ICCAD 2006»
14 years 4 months ago
A statistical framework for post-silicon tuning through body bias clustering
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...
CGO
2003
IEEE
14 years 27 days ago
Addressing Mode Selection
Many processor architectures provide a set of addressing modes in their address generation units. For example DSPs (digital signal processors) have powerful addressing modes for e...
Erik Eckstein, Bernhard Scholz