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    CVPR
    2006
    IEEE
    257views Computer Vision» more  CVPR 2006»
    Unsupervised Learning of Categories from Sets of Partially Matching Image Features
    14 years 11 months ago
    Unsupervised Learning of Categories from Sets of Partially Matching Image Features
    Download  vision.jhu.edu
    We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
    Kristen Grauman, Trevor Darrell
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    ICSEA
    2007
    IEEE
    118views Software Engineering» more  ICSEA 2007»
    A Novel Framework for Test Domain Reduction using Extended Finite State Machine
    14 years 3 months ago
    A Novel Framework for Test Domain Reduction using Extended Finite State Machine
    Download  pioneer.netserv.chula.ac.th
    Test case generation is an expensive, tedious, and errorprone process in software testing. In this paper, test case generation is accomplished using an Extended Finite State Machi...
    Nutchakorn Ngamsaowaros, Peraphon Sophatsathit
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    IJON
    2006
    99views more  IJON 2006»
    Feature selection in independent component subspace for microarray data classification
    13 years 9 months ago
    Feature selection in independent component subspace for microarray data classification
    Download  www.intelengine.cn
    A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the inde...
    Chun-Hou Zheng, De-Shuang Huang, Li Shang
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    EAAI
    2006
    157views more  EAAI 2006»
    Color reduction and estimation of the number of dominant colors by using a self-growing and self-organized neural gas
    13 years 9 months ago
    Color reduction and estimation of the number of dominant colors by using a self-growing and self-organized neural gas
    Download  ipml.ee.duth.gr
    A new method for color reduction in a digital image is proposed, which is based on the development of a new neural network classifier and on a new method for Estimation of the Mos...
    Antonios Atsalakis, Nikos Papamarkos
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    PKDD
    2009
    Springer
    113views Data Mining» more  PKDD 2009»
    Feature Selection for Density Level-Sets
    14 years 3 months ago
    Feature Selection for Density Level-Sets
    Download  www.cs.berkeley.edu
    A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
    Marius Kloft, Shinichi Nakajima, Ulf Brefeld
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