Browsing Closed by Author "Xu, Dong"

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Browsing Closed by Author "Xu, Dong"

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  • Li, Wen; Duan, Lixin; Tsang, Ivor; Xu, Dong (IEEE, 2012)
    We propose a multi-view learning approach called co-labeling which is applicable for several machine learning problems where the labels of training samples are uncertain, including semi-supervised learning (SSL), ...
  • Duan, Lixin; Tsang, Ivor; Xu, Dong; Chua, Tat-Seng (Omnipress, 2009)
    We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for label prediction of patterns from the ...
  • Xu, Xinxing; Tsang, Ivor; Xu, Dong (IEEE, 2012)
    Data ambiguities exist in many data mining and machine learning applications such as text categorization and image retrieval. For instance, it is generally beneficial to utilize the ambiguous unlabeled documents to learn ...
  • Duan, Lixin; Xu, Dong; Tsang, Ivor (Omnipress, 2012)
    We propose a new learning method for heterogeneous domain adaptation (HDA), in which the data from the source domain and the target domain are represented by heterogeneous features with different dimensions. Using two ...
  • Yang, Yi; Zhuang, Yueting; Xu, Dong; Pan, Yunhe; Tao, Dacheng; Maybank, Stephen (Association for Computing Machinery, Inc. (ACM), 2009)
    Cartoons play important roles in many areas, but it requires a lot of labor to produce new cartoon clips. In this paper, we propose a gesture recognition method for cartoon character images with two applications, namely ...
  • Liu, Huiying; Xu, Dong; Huang, Qingming; Li, Wen; Xu, Min; Lin, Stephen (IEEE, 2013)
    We present a method for estimating human scan paths, which are sequences of gaze shifts that follow visual attention over an image. In this work, scan paths are modeled based on three principal factors that influence human ...
  • Chen, Lin; Xu, Dong; Tsang, Ivor; Luo, Jiebo (IEEE, 2010)
    Web photos in social media sharing websites such as Flickr are generally accompanied by rich but noisy textual descriptions (tags, captions, categories, etc.). In this paper, we proposed a tag-based photo retrieval ...
  • Li, Wen; Duan, Lixin; Xu, Dong; Tsang, Ivor (IEEE, 2011)
    Relevant and irrelevant images collected from the Web (e.g., Flickr.com) have been employed as loosely labeled training data for image categorization and retrieval. In this work, we propose a new approach to learn a ...
  • Duan, Lixin; Xu, Dong; Tsang, Ivor; Luo, Jiebo (IEEE, 2010)
    We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new aligned space-time pyramid matching ...