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    CVPR
    2010
    IEEE
    425views Computer Vision» more  CVPR 2010»
    Boundary Learning by Optimization with Topological Constraints
    14 years 6 months ago
    Boundary Learning by Optimization with Topological Constraints
    Download  web.mit.edu
    Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
    Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
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    IUI
    1998
    ACM
    149views Software Engineering» more  IUI 1998»
    Task-sensitive Cinematography Interfaces for Interactive 3D Learning Environments
    14 years 2 months ago
    Task-sensitive Cinematography Interfaces for Interactive 3D Learning Environments
    Download  www.cs.washington.edu
    Interactive3Dlearningenvironmentscanproviderichproblemsolving experiences with unparalleled visual impact. In these environments, students interactively solve problems by directin...
    William H. Bares, Luke S. Zettlemoyer, Dennis W. R...
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    SIGIR
    2003
    ACM
    126views Information Technology» more  SIGIR 2003»
    A maximal figure-of-merit learning approach to text categorization
    14 years 3 months ago
    A maximal figure-of-merit learning approach to text categorization
    Download  www.cs.cmu.edu
    A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
    Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 7 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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    ECIR
    2009
    Springer
    285views Information Technology» more  ECIR 2009»
    Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
    14 years 7 months ago
    Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
    Download  www.cs.cmu.edu
    Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
    Pinar Donmez, Jaime G. Carbonell
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