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    IGARSS
    2009
    142views Remote Sensing» more  IGARSS 2009»
    Reducing the Dimensionality of Hyperspectral Data using Diffusion Maps
    13 years 2 months ago
    Reducing the Dimensionality of Hyperspectral Data using Diffusion Maps
    Download  math.georgiasouthern.edu
    We examine the analysis of hyperspectral data produced by the Hyperspectral Core Imager of AngloGold Ashanti. The dimension of the data is reduced using diffusion maps and the dat...
    Luis du Plessis, Steven Damelin, Michael Sears
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 6 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    IGARSS
    2009
    172views Remote Sensing» more  IGARSS 2009»
    Classification Performance of Random-projection-based Dimensionality Reduction of Hyperspectral Imagery
    13 years 2 months ago
    Classification Performance of Random-projection-based Dimensionality Reduction of Hyperspectral Imagery
    Download  www.ece.msstate.edu
    High-dimensional data such as hyperspectral imagery is traditionally acquired in full dimensionality before being reduced in dimension prior to processing. Conventional dimensiona...
    James E. Fowler, Qian Du, Wei Zhu, Nicolas H. Youn...
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    PAMI
    2006
    141views more  PAMI 2006»
    Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
    13 years 4 months ago
    Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
    Download  www.cs.cmu.edu
    We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
    Stéphane Lafon, Ann B. Lee
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    IPMI
    2005
    Springer
    166views Medical Imaging» more  IPMI 2005»
    Analysis of Event-Related fMRI Data Using Diffusion Maps
    14 years 5 months ago
    Analysis of Event-Related fMRI Data Using Diffusion Maps
    Download  ecee.colorado.edu
    The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
    François G. Meyer, Xilin Shen
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