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» Dimensionality Reduction for Classification
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ICPR
2002
IEEE
16 years 4 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
ICPR
2002
IEEE
16 years 4 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
ICML
2009
IEEE
16 years 4 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
CVPR
2010
IEEE
15 years 11 months ago
Manifold Blurring Mean Shift Algorithms
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
Weiran Wang, Miguel Carreira-perpinan
CBMS
2009
IEEE
15 years 10 months ago
MammoSVD: A content-based image retrieval system using a reference database of mammographies
In this paper, we present a content-based image retrieval (CBIR) system called MammoSVD. This CBIR system is developed based on breast density – fatty or dense, and the database...
Júlia E. E. de Oliveira, Ana Paula Brand&at...