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» Input Modeling Using Quantile Statistical Methods
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CVPR
2000
IEEE
16 years 5 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
142
Voted
CCECE
2006
IEEE
15 years 9 months ago
Evaluation of RNA Secondary Structure Motifs using Regression Analysis
Recent experimental evidences have shown that ribonucleic acid (RNA) plays a greater role in the cell than previously thought. An ensemble of RNA sequences believed to contain sig...
Mohammad Anwar, Marcel Turcotte
AUSAI
2008
Springer
15 years 4 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
117
Voted
GECCO
2005
Springer
15 years 8 months ago
Using gene deletion and gene duplication in evolution strategies
Self-adaptation of the mutation strengths is a powerful mechanism in evolution strategies (ES), but it can fail. As a consequence premature convergence or ending up in a local opt...
Karlheinz Schmitt
CVPR
2005
IEEE
16 years 5 months ago
Face Recognition with Image Sets Using Manifold Density Divergence
In many automatic face recognition applications, a set of a person's face images is available rather than a single image. In this paper, we describe a novel method for face r...
Ognjen Arandjelovic, Gregory Shakhnarovich, John F...