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» Diffeomorphic Dimensionality Reduction
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ICASSP
2009
IEEE
15 years 6 months ago
Separable PCA for image classification
As an alternative to standard PCA, matrix-based image dimensionality reduction methods have recently been proposed and have gained attention due to reported computational efficie...
Yongxin Taylor Xi, Peter J. Ramadge
CIVR
2009
Springer
108views Image Analysis» more  CIVR 2009»
15 years 6 months ago
High-entropy layouts for content-based browsing and retrieval
Multimedia browsing and retrieval systems can use dimensionality reduction methods to map from high-dimensional content-based feature distributions to low-dimensional layout space...
Ruixuan Wang, Stephen J. McKenna, Junwei Han
ICPR
2008
IEEE
15 years 6 months ago
Clustering-based locally linear embedding
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
Kanghua Hui, Chunheng Wang
COLING
2008
15 years 1 months ago
Using Three Way Data for Word Sense Discrimination
In this paper, an extension of a dimensionality reduction algorithm called NONNEGATIVE MATRIX FACTORIZATION is presented that combines both `bag of words' data and syntactic ...
Tim Van de Cruys
ESANN
2007
15 years 1 months ago
Estimation of tangent planes for neighborhood graph correction
Local algorithms for non-linear dimensionality reduction [1], [2], [3], [4], [5] and semi-supervised learning algorithms [6], [7] use spectral decomposition based on a nearest neig...
Karina Zapien Arreola, Gilles Gasso, Stépha...