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» The Computational Complexity of Linear Optics
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125
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IPL
2010
71views more  IPL 2010»
15 years 2 months ago
New common ancestor problems in trees and directed acyclic graphs
We derive a new generalization of lowest common ancestors (LCAs) in dags, called the lowest single common ancestor (LSCA). We show how to preprocess a static dag in linear time su...
Johannes Fischer, Daniel H. Huson
126
Voted
HCI
2009
15 years 1 months ago
The Pluses and Minuses of Obtaining Measurements from Digital Scans
Digital scanners are commonplace and are used in many different applications to obtain three-dimensional shapes and linear and circumferential measurements. Even though scanners ca...
Ravindra S. Goonetilleke, Channa P. Witana, Jianhu...
142
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ICML
2004
IEEE
15 years 9 months ago
Optimising area under the ROC curve using gradient descent
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
Alan Herschtal, Bhavani Raskutti
123
Voted
NOLISP
2005
Springer
15 years 9 months ago
A Simple, Quasi-linear, Discrete Model of Vocal Fold Dynamics
In current speech technology, linear prediction dominates. The linear vocal tract model is well justified biomechanically, and linear prediction is a simple and well understood si...
Max Little, Patrick McSharry, Irene Moroz, Stephen...
110
Voted
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
15 years 9 months ago
Exploratory Data Analysis with Interactive Evolution
We illustrate with two simple examples how Interactive Evolutionary Computation (IEC) can be applied to Exploratory Data Analysis (EDA). IEC is particularly valuable in an EDA cont...
Sergey Malinchik, Eric Bonabeau