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    JMLR
    2012
    256views Programming Languages» more  JMLR 2012»
    Globally Optimizing Graph Partitioning Problems Using Message Passing
    12 years 1 days ago
    Globally Optimizing Graph Partitioning Problems Using Message Passing
    Download  www.cs.huji.ac.il
    Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
    Elad Mezuman, Yair Weiss
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    PAMI
    2012
    318views Software Engineering» more  PAMI 2012»
    CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
    12 years 1 days ago
    CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
    Download  sminchisescu.ins.uni-bonn.de
    —We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
    João Carreira, Cristian Sminchisescu
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    KDD
    2012
    ACM
    179views Data Mining» more  KDD 2012»
    Web image prediction using multivariate point processes
    12 years 1 days ago
    Web image prediction using multivariate point processes
    Download  vision.stanford.edu
    In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
    Gunhee Kim, Fei-Fei Li, Eric P. Xing
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    CVPR
    2012
    IEEE
    219views Computer Vision» more  CVPR 2012»
    Weak attributes for large-scale image retrieval
    12 years 1 days ago
    Weak attributes for large-scale image retrieval
    Download  www.ee.columbia.edu
    Attribute-based query offers an intuitive way of image retrieval, in which users can describe the intended search targets with understandable attributes. In this paper, we develop...
    Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan ...
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    TKDE
    2012
    245views Formal Methods» more  TKDE 2012»
    Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
    12 years 13 hour ago
    Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
    Download  www.comp.hkbu.edu.hk
    —The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
    Hong Zeng, Yiu-ming Cheung
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