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ICVS
2003
Springer
16 years 2 days ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
197
Voted
ICPR
2010
IEEE
16 years 2 days ago
The Human Action Image
Recognizing a person’s motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recogn...
Ricky Sethi, Amit Roy-Chowdhury
170
Voted
ICPR
2002
IEEE
15 years 11 months ago
Supervised Segmentation of Textures in Backscatter Images
In this paper we present an application of statistical pattern recognition for segmentation of backscatter images (BSE) in product analysis of laundry detergents. Currently, appli...
Pavel Paclík, Robert P. W. Duin, Geert M. P...
CIARP
2009
Springer
15 years 11 months ago
Neural Network Ensembles from Training Set Expansions
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
Debrup Chakraborty
MCS
2009
Springer
15 years 11 months ago
Regularized Linear Models in Stacked Generalization
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
Samuel Robert Reid, Gregory Z. Grudic
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