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    PR
    2016
    118views Cryptology» more  PR 2016»
    Multilingual scene character recognition with co-occurrence of histogram of oriented gradients
    8 years 17 days ago
    Multilingual scene character recognition with co-occurrence of histogram of oriented gradients
    Download  www.comp.nus.edu.sg
    Shangxuan Tian, Ujjwal Bhattacharya, Shijian Lu, B...
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    PR
    2016
    70views Cryptology» more  PR 2016»
    One-pass online learning: A local approach
    8 years 17 days ago
    One-pass online learning: A local approach
    Download  sist.sysu.edu.cn
    Online learning is very important for processing sequential data and helps alleviate the computation burden on large scale data as well. Especially, one-pass online learning is to...
    Zhaoze Zhou, Wei-Shi Zheng, Jianfang Hu, Yong Xu, ...
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    PR
    2016
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    A new method for multi-oriented graphics-scene-3D text classification in video
    8 years 17 days ago
    A new method for multi-oriented graphics-scene-3D text classification in video
    Download  www.comp.nus.edu.sg
    Text detection and recognition in video is challenging due to the presence of different types of texts, namely, graphics (video caption), scene (natural text), 2D, 3D, static and ...
    Jiamin Xu, Palaiahnakote Shivakumara, Tong Lu, Che...
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    PR
    2016
    65views Cryptology» more  PR 2016»
    Can high-order dependencies improve mutual information based feature selection?
    8 years 17 days ago
    Can high-order dependencies improve mutual information based feature selection?
    Download  people.eng.unimelb.edu.au
    Mutual information (MI) based approaches are a popular paradigm for feature selection. Most previous methods have made use of low-dimensional MI quantities that are only effectiv...
    Nguyen Xuan Vinh, Shuo Zhou, Jeffrey Chan, James B...
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    PR
    2016
    64views Cryptology» more  PR 2016»
    Active cleaning of label noise
    8 years 17 days ago
    Active cleaning of label noise
    Download  rajmadhan.myweb.usf.edu
    Mislabeled examples in the training data can severely affect the performance of supervised classifiers. In this paper, we present an approach to remove any mislabeled examples i...
    Ekambaram Rajmadhan, Sergiy Fefilatyev, Matthew Sh...
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