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    NIPS
    2003
    131views Information Technology» more  NIPS 2003»
    Discriminative Fields for Modeling Spatial Dependencies in Natural Images
    13 years 9 months ago
    Discriminative Fields for Modeling Spatial Dependencies in Natural Images
    Download  www.cs.cmu.edu
    In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...
    Sanjiv Kumar, Martial Hebert
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    IEEEVAST
    2010
    136views Emerging Technology» more  IEEEVAST 2010»
    DimStiller: Workflows for dimensional analysis and reduction
    13 years 2 months ago
    DimStiller: Workflows for dimensional analysis and reduction
    Download  www.cs.ubc.ca
    DimStiller is a system for dimensionality reduction and analysis. It frames the task of understanding and transforming input dimensions as a series of analysis steps where users t...
    Stephen Ingram, Tamara Munzner, Veronika Irvine, M...
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    VLUDS
    2010
    163views Visualization» more  VLUDS 2010»
    Modeling and visualizing urban sprawl and carbon footprints in Phoenix metropolitan area
    13 years 2 months ago
    Modeling and visualizing urban sprawl and carbon footprints in Phoenix metropolitan area
    Download  drops.dagstuhl.de
    Urban planners are dealing with problems of urban sprawl and CO2 emissions. The multidimensional character of these phenomena requires new analysis and visualization tools that ar...
    Sebastian Petsch, Subhrajit Guhathakurta, Hans Hag...
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    BMCBI
    2007
    154views more  BMCBI 2007»
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    13 years 8 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    Download  www.biomedcentral.com
    Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
    Yvonne E. Pittelkow, Susan R. Wilson
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    SDM
    2009
    SIAM
    202views Data Mining» more  SDM 2009»
    Proximity-Based Anomaly Detection Using Sparse Structure Learning.
    14 years 5 months ago
    Proximity-Based Anomaly Detection Using Sparse Structure Learning.
    Download  www.research.ibm.com
    We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
    Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
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