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    CVPR
    2004
    IEEE
    179views Computer Vision» more  CVPR 2004»
    Super-Resolution through Neighbor Embedding
    14 years 10 months ago
    Super-Resolution through Neighbor Embedding
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    In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
    Hong Chang, Dit-Yan Yeung, Yimin Xiong
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    ISMB
    2008
    209views Computational Biology» more  ISMB 2008»
    Classification of arrayCGH data using fused SVM
    13 years 10 months ago
    Classification of arrayCGH data using fused SVM
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    Motivation: Array-based comparative genomic hybridization (arrayCGH) has recently become a popular tool to identify DNA copy number variations along the genome. These profiles are...
    Franck Rapaport, Emmanuel Barillot, Jean-Philippe ...
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    BMCBI
    2007
    207views more  BMCBI 2007»
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
    13 years 8 months ago
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
    Download  www.biomedcentral.com
    Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
    Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
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    ICPR
    2006
    IEEE
    166views computer vision» more  ICPR 2006»
    Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier
    14 years 9 months ago
    Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier
    Download  www.isip.uni-luebeck.de
    2D projection imaging is a widely used procedure for vessel visualization. For the subsequent analysis of the vasculature, precise measurements of e.g. vessel area, vessel length ...
    Alexandru Condurache, Til Aach
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    BMCBI
    2008
    220views more  BMCBI 2008»
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    13 years 8 months ago
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    Download  www.biomedcentral.com
    Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
    Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
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