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ECCV
2002
Springer
14 years 9 months ago
Sensitivity of Calibration to Principal Point Position
A common practice when carrying out self-calibration of a camera from one or more views is to start with a guess at the principal point. The general belief is that inaccuracies in...
Richard I. Hartley, Robert Kaucic
BIOADIT
2004
Springer
14 years 1 months ago
Distributed Central Pattern Generator Model for Robotics Application Based on Phase Sensitivity Analysis
Abstract. A method is presented to predict phase relationships between coupled phase oscillators. As an illustration of how the method can be applied, a distributed Central Pattern...
Jonas Buchli, Auke Jan Ijspeert
ICDAR
2009
IEEE
13 years 5 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
JMLR
2010
133views more  JMLR 2010»
13 years 2 months ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
ICASSP
2008
IEEE
14 years 2 months ago
Composite hypothesis testing by optimally distinguishable distributions
Relying on optimally distinguishable distributions (ODD), it was defined very recently a new framework for the composite hypothesis testing. We resort to the linear model to inve...
Seyed Alireza Razavi, Ciprian Doru Giurcaneanu