33 search results - page 2 / 7 » Laplacian Eigenmaps and Spectral Techniques for Embedding an... |
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenm...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We propose a new dimensionality reduction method, the elastic embedding (EE), that optimises an intuitive, nonlinear objective function of the low-dimensional coordinates of the d...
BMCBI
2010
13 years 5 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we de...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...