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ISPASS
2006
IEEE
14 years 1 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
BMCBI
2011
13 years 2 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
IJCSS
2006
111views more  IJCSS 2006»
13 years 7 months ago
An Algorithm for Accurate Measurement of Corneal Thickness Using Ultrasound RF Signal
A faster and more accurate method for the detection of corneal thickness using an ultrasonic pulse-echo technique was proposed. The corneal thickness was calculated from the time ...
P. J. Cao, K. Kirk Shung
CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Discriminative Discovery of Transcription Factor Binding Sites from Location Data
Motivation: The availability of genome-wide location analyses based on chromatin immunoprecipitation (ChIP) data gives a new insight for in silico analysis of transcriptional regu...
Yuji Kawada, Yasubumi Sakakibara
ICCAD
2009
IEEE
117views Hardware» more  ICCAD 2009»
13 years 5 months ago
Binning optimization based on SSTA for transparently-latched circuits
With increasing process variation, binning has become an important technique to improve the values of fabricated chips, especially in high performance microprocessors where transpa...
Min Gong, Hai Zhou, Jun Tao, Xuan Zeng