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» The Implicit Pipeline Method
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ISBI
2004
IEEE
14 years 11 months ago
Statistical Surface-Based Morphometry Using a Non-Parametric Approach
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
ISBI
2008
IEEE
14 years 11 months ago
Support vector machine for data on manifolds: An application to image analysis
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
Suman K. Sen, Mark Foskey, James Stephen Marron, M...
WWW
2004
ACM
14 years 11 months ago
A diagrammatic inference system for the web
We developed a diagrammatic inference system for the World Wide Web. Our system enables the creation of diagrams such that the information contained in them can be searched and in...
Michael Wollowski, Peter Nei, Chris Barrell
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 11 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
VLSID
2007
IEEE
131views VLSI» more  VLSID 2007»
14 years 11 months ago
Probabilistic Self-Adaptation of Nanoscale CMOS Circuits: Yield Maximization under Increased Intra-Die Variations
As technology scales to 40nm and beyond, intra-die process variability will cause large delay and leakage variations across a chip in addition to expected die-to-die variations. I...
Maryam Ashouei, Muhammad Mudassar Nisar, Abhijit C...