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Diffusion map

Known as: Diffusion maps 
Diffusion maps is a dimensionality reduction or feature extraction algorithm introduced by R. R. Coifman and S. Lafon. It computes a family of… 
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Related topics

Related topics

5 relations
Dimensionality reductionFeature extractionMarkov chainNonlinear dimensionality reduction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Revealing the intrinsic geometry of finite dimensional invariant sets of infinite dimensional dynamical systems
Embedding techniques allow the approximations of finite dimensional attractors and manifolds of infinite dimensional dynamical… 
2018
2018
3D shape co-segmentation via sparse and low rank representations
In this paper, we propose a 3D shape co-segmentation method, which divides 3D shapes in the same category into consistent feature… 
2017
2017
Humidor : Microbial Community Classification of the 16 S Gene by Training CIGAR Strings with Convolutional Neural Networks
We propose a new model for classifying microbiota based on CIGAR strings depicting indels and mismatches for 16S gene sequences… 
2014
2014
Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
Detecting pedestrians at a distance from large-format wide-area imagery is a challenging problem because of low ground sampling… 
2010
2010
Localization of Language Areas in Brain Tumor Patients by Functional Geometry Alignment
The substantial reorganization of functional systems and hemodynamic changes caused by brain tumors make fMRI detection and… 
2009
2009
Semi-supervised Feature Selection for Gender Classification
We apply a semi-supervised learning method to perform gender determination. The aim is to select the most discriminating feature… 
2008
2008
Manifold Learning and Dimensionality Reduction with Diffusion Maps
This report gives an introduction to diffusion maps, some of their underlying theory, as well as their applications in spectral… 
2007
2007
Diffusion Maps and Geometric Harmonics for Automatic Target Recognition (ATR). Volume 2. Appendices
Abstract : Geometric harmonics provides a framework for taking data in high-dimensional measurement spaces and embedding them in… 
2005
2005
Comparison of Systems using Diffusion Maps
In this paper we propose an efficient method of comparing data sets obtained from either an experiment or simulation of dynamical… 
2000
2000
Diffusion Changes in Normal Pressure Hydrocephalus
The diffusion of water in the periventricular region is altered in hydrocephalic patients due to transependymal resorbtion of CSF… 
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