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» HITS is Principal Components Analysis
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82
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ICPR
2002
IEEE
16 years 1 months ago
PCA in Autocorrelation Space
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
Vlad Popovici, Jean-Philippe Thiran
95
Voted
ICPR
2002
IEEE
16 years 1 months ago
Manifold Pursuit: A New Approach to Appearance Based Recognition
Manifold Pursuit (MP) extends Principal Component Analysis to be invariant to a desired group of image-plane transformations of an ensemble of un-aligned images. We derive a simpl...
Amnon Shashua, Anat Levin, Shai Avidan
108
Voted
MICCAI
2003
Springer
16 years 1 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
93
Voted
MICCAI
2003
Springer
16 years 1 months ago
3D Moment Invariant Based Morphometry
This paper advocates the use of shape descriptors based on moments of 3D coordinates for morphometry of the cortical sulci. These descriptors, which have been introduced more than ...
Jean-Francois Mangin, Fabrice Poupon, Denis Rivi&e...
ICML
2009
IEEE
16 years 1 months ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans