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» Nonlinear principal component analysis of noisy data
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ICCV
2005
IEEE
15 years 11 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
PKDD
2005
Springer
97views Data Mining» more  PKDD 2005»
15 years 3 months ago
Frequency-Based Separation of Climate Signals
Abstract. The paper presents an example of exploratory data analysis of climate measurements using a recently developed denoising source separation (DSS) framework. We analysed a c...
Alexander Ilin, Harri Valpola
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
14 years 11 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount
81
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MICCAI
2003
Springer
15 years 10 months ago
Statistical Shape Modeling of Unfolded Retinotopic Maps for a Visual Areas Probabilistic Atlas
Abstract. This paper proposes a statistical model of functional landmarks delimiting low level visual areas which are highly variable across individuals. Low level visual areas are...
Isabelle Corouge, Michel Dojat, Christian Barillot
ICPR
2010
IEEE
15 years 3 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Neural Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Gabbouj Moncef