Browsing by Author "Li Jie"

UTSePress Research/Manakin Repository

Search UTSePress Research

Browse

My Account

Browsing by Author "Li Jie"

Sort by: Order: Results:

  • Incremental pairwise discriminant analysis based visual tracking 
    Wen Ling; Gao Xinbo; Li Xuelong; Tao Dacheng; Li Jie (Elsevier Science Bv, 2010)
    The distinguishment between the object appearance and the background is the useful cues available for visual tracking in which the discriminant analysis is widely applied However due to the diversity of the background ...
  • Incremental tensor biased discriminant analysis: A new color-based visual tracking method 
    Wen Jing; Gao Xinbo; Yuan Yuan; Tao Dacheng; Li Jie (Elsevier Science Bv, 2010)
    Most existing color-based tracking algorithms utilize the statistical color information of the object as the tracking clues, without maintaining the spatial structure within a single chromatic image. Recently, the researches ...
  • An integrated aurora image retrieval system: AuroraEye 
    Fu Rong; Gao Xinbo; Li Xuelong; Tao Dacheng; Jian Yongjun; Li Jie; Hu Hongqiao; Yang Huigen (Academic Press Inc Elsevier Science, 2010)
    With the digital all-sky imager (ASI) emergence in aurora research, millions of images are captured annually. However, only a fraction of which can be actually used. To address the problem incurred by low efficient manual ...
  • Photo-sketch synthesis and recognition based on subspace learning 
    Xiao Bing; Gao Xinbo; Tao Dacheng; Yuan Yuan; Li Jie (Elsevier Science Bv, 2010)
    This paper aims to reducing difference between sketches and photos by synthesizing sketches from photos, and vice versa, and then performing sketch-sketch/photo-photo recognition with subspace learning based methods. ...
  • A Prior Neurophysiologic Knowledge Free Tensor-Based Scheme for Single Trial EEG Classification 
    Li Jie; Zhang Liqing; Tao Dacheng; Sun H; Zhao Qibin (IEEE-Inst Electrical Electronics Engineers Inc, 2009)
    Single trial electroencephalogram (EEG) classification is essential in developing brain-computer interfaces (BCIs). However, popular classification algorithms, e.g., common spatial patterns (CSP), usually highly depend on ...
  • Semi-supervised Gaussian process latent variable model with pairwise constraints 
    Wang Xiumei; Gao Xinbo; Yuan Yuan; Tao Dacheng; Li Jie (Elsevier Science Bv, 2010)
    In machine learning. Gaussian process latent variable model (GP-LVM) has been extensively applied in the field of unsupervised dimensionality reduction. When some supervised information, e.g., pairwise constraints or labels ...
  • A Video Quality Assessment Metric Based on Human Visual System 
    Lu Wen; Li Xuelong; Gao Xinbo; Tang Wenjian; Li Jie; Tao Dacheng (Springer, 2010)
    It is important for practical application to design an effective and efficient metric for video quality. The most reliable way is by subjective evaluation. Thus, to design an objective metric by simulating human visual ...