1148 search results - page 84 / 230 » Dimensionality Reduction with Image Data |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
IJCAI
2007
14 years 11 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
IEEECIT
2005
IEEE
15 years 3 months ago
2005
IEEE
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
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WSCG
2001
14 years 11 months ago
2001
The problem of detecting specific patterns in images of materials obtained through High Resolution Transmission Electron Microscopy is addressed. A supervised classification metho...
MICCAI
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. We introduce a value-based noise reduction method for DualEnergy CT applications. It is based on joint intensity statistics estimated from high- and low-energy CT scans o...