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ICIP
2007
IEEE
14 years 10 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
BMCBI
2008
136views more  BMCBI 2008»
13 years 9 months ago
An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptim
Background: RNAmute is an interactive Java application which, given an RNA sequence, calculates the secondary structure of all single point mutations and organizes them into categ...
Alexander Churkin, Danny Barash
WSC
2008
13 years 11 months ago
A modeling-based classification algorithm validated with simulated data
We present a Generalized Lotka-Volterra (GLV) based approach for modeling and simulation of supervised inductive learning, and construction of an efficient classification algorith...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
SIGMETRICS
2005
ACM
102views Hardware» more  SIGMETRICS 2005»
14 years 2 months ago
A statistical framework for efficient monitoring of end-to-end network properties
Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide measures ...
David B. Chua, Eric D. Kolaczyk, Mark Crovella
CASES
2006
ACM
14 years 19 days ago
Improving the performance and power efficiency of shared helpers in CMPs
Technology scaling trends have forced designers to consider alternatives to deeply pipelining aggressive cores with large amounts of performance accelerating hardware. One alterna...
Anahita Shayesteh, Glenn Reinman, Norman P. Jouppi...