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HPCA
2008
IEEE
16 years 7 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
151
Voted
TSP
2008
102views more  TSP 2008»
15 years 6 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
BIOCOMP
2006
15 years 8 months ago
Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates
Based on microarray gene expression datasets, many statistical methods have been proposed to locate the significant differentially expressed genes (marker genes) among different sa...
Atiq Islam, Khan M. Iftekharuddin, David J. Russom...
CCIA
2005
Springer
16 years 12 days ago
On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging
IntraVascular UltraSound (IVUS) imaging is a useful tool in diagnosis of cardiac diseases since sequences completely show the morphology of coronary vessels. Vessel borders detecti...
Aura Hernandez, Debora Gil, Petia Radeva
CBMS
2000
IEEE
15 years 11 months ago
Use of Shape Models to Search Digitized Spine X-rays
We are building a biomedical information resource consisting of digitized x-ray images and associated textual data from national health surveys. This resource, the Web-based Medic...
L. Rodney Long, George R. Thoma