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    VISSYM
    2004
    110views Visualization» more  VISSYM 2004»
    Case Study: Visualization of annotated DNA sequences
    13 years 6 months ago
    Case Study: Visualization of annotated DNA sequences
    Download  www.win.tue.nl
    DNA sequences and their annotations form ever expanding data sets. Proper explorations of such data sets require new tools for visualization and analysis. In this case study, we h...
    Tim H. J. M. Peeters, Huub van de Wetering, Mark W...
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    VISSYM
    2004
    129views Visualization» more  VISSYM 2004»
    TimeHistograms for Large, Time-Dependent Data
    13 years 6 months ago
    TimeHistograms for Large, Time-Dependent Data
    Download  kosara.net
    Histograms are a very useful tool for data analysis, because they show the distribution of values over a data dimension. Many data sets in engineering (like computational fluid dy...
    Robert Kosara, Fabian Bendix, Helwig Hauser
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    VISSYM
    2004
    201views Visualization» more  VISSYM 2004»
    Interactively Visualizing Procedurally Encoded Scalar Fields
    13 years 6 months ago
    Interactively Visualizing Procedurally Encoded Scalar Fields
    Download  www.vis.uni-stuttgart.de
    Figure 1: RBF reconstruction of unstructured CFD data. (a) Volume rendering of 1,943,383 tetrahedral shock data set using 2,932 RBF functions. (b) Volume rendering of a 156,642 te...
    Yun Jang, Manfred Weiler, Matthias Hopf, Jingshu H...
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    VIIP
    2001
    178views Image Processing» more  VIIP 2001»
    3-D Haar Wavelet Transformation and Texture-based 3-D Reconstruction of Biomedical Data Sets
    13 years 6 months ago
    3-D Haar Wavelet Transformation and Texture-based 3-D Reconstruction of Biomedical Data Sets
    Download  imaging.eng.uci.edu
    Enhanced biomedical image scanning technology and growing network accessibility have created a need for faster and more efficient data exchange over the Internet and in closed net...
    Pujita Pinnamaneni, Sagar Saladi, Joerg Meyer
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    NIPS
    2004
    141views Information Technology» more  NIPS 2004»
    Efficient Out-of-Sample Extension of Dominant-Set Clusters
    13 years 6 months ago
    Efficient Out-of-Sample Extension of Dominant-Set Clusters
    Download  books.nips.cc
    Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...
    Massimiliano Pavan, Marcello Pelillo
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    DGO
    2003
    113views Education» more  DGO 2003»
    Resolving Schema and Value Heterogeneities for XML Web Querying
    13 years 6 months ago
    Resolving Schema and Value Heterogeneities for XML Web Querying
    Download  sunsite.informatik.rwth-aachen.de
    To query XML data over the Web, query engines need to be able to resolve semantic differences between heterogeneous attributes that are conceptually similar. This demo presents a ...
    Nancy Wiegand, Naijun Zhou, Stephen J. Ventura, Is...
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    DBSEC
    2003
    137views Database» more  DBSEC 2003»
    Certifying Data from Multiple Sources
    13 years 6 months ago
    Certifying Data from Multiple Sources
    Download  truthsayer.cs.ucdavis.edu
    Abstract Data integrity can be problematic when integrating and organizing information from many sources. In this paper we describe efficient mechanisms that enable a group of data...
    Glen Nuckolls, Charles U. Martel, Stuart G. Stubbl...
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    IKE
    2004
    86views Information Technology» more  IKE 2004»
    A Knowledge-Based Framework for Deploying Surveillance Problem Solvers
    13 years 6 months ago
    A Knowledge-Based Framework for Deploying Surveillance Problem Solvers
    Download  bmir.stanford.edu
    Increased concern about bioterrorism and emerging diseases is driving the development of systems for early epidemic detection. These systems have different requirements than tradit...
    David L. Buckeridge, Martin J. O'Connor, Haobo Xu,...
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    IIS
    2004
    126views Information Technology» more  IIS 2004»
    Visualizing large data by the SOM and GTM methods - what are we obtaining?
    13 years 6 months ago
    Visualizing large data by the SOM and GTM methods - what are we obtaining?
    Download  www.ii.uni.wroc.pl
    tractZak04.tex. Full paper in: M. A. Klopotek, A.T. Wierzcho
    Anna Bartkowiak
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    CAINE
    2003
    128views Computer Science» more  CAINE 2003»
    A Genetic Algorithm for Clustering on Very Large Data Sets
    13 years 6 months ago
    A Genetic Algorithm for Clustering on Very Large Data Sets
    Download  cs.hbg.psu.edu
    Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
    Jim Gasvoda, Qin Ding
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