Browsing by Author "Xu, Chao"

UTSePress Research/Manakin Repository

Search UTSePress Research

Browse

My Account

Browsing by Author "Xu, Chao"

Sort by: Order: Results:

  • Li, Yangxi; Geng, Bo; Tao, Dacheng; Zha, Zheng-Jun; Yang, Linjun; Xu, Chao (IEEE-inst Electrical Electronics Engineers Inc, 2012)
    Existing image retrieval systems suffer from a performance variance for different queries. Severe performance variance may greatly degrade the effectiveness of the subsequent query-dependent ranking optimization algorithms, ...
  • Li, Yangxi; Geng, Bo; Zha, Zheng-Jun; Tao, Dacheng; Yang, Linjun; Xu, Chao (ACM, 2011)
    Existing image retrieval systems suffer from a radical performance variance for different queries. The bad initial search results for a??difficulta? queries may greatly degrade the performance of their subsequent ...
  • Geng, Bo; Tao, Dacheng; Xu, Chao; Yang, Linjun; Hua, Xian-Sheng (IEEE, 2009)
    We propose an automatic approximation of the intrinsic manifold for general semi-supervised learning problems. Unfortunately, it is not trivial to define an optimization function to obtain optimal hyperparameters. Usually, ...
  • Shi, Miaojing; Sun, Xinghai; Tao, Dacheng; Xu, Chao (ACM, 2012)
    Bag-of-visual-words (BOVW) based image representation has received intense attention in recent years and has improved content based image retrieval (CBIR) significantly. BOVW does not consider the spatial correlation between ...
  • Xu, Chang; Tao, Dacheng; Li, Yangxi; Xu, Chao (ACM, 2013)
    In image classification, the goal is to decide whether an image belongs to a certain category or not. Multiple features are usually employed to comprehend the contents of images substantially for the improvement of ...
  • Luo, Yong; Tao, Dacheng; Geng, Bo; Xu, Chao; Maybank, Stephen (IEEE-Inst Electrical Electronics Engineers Inc, 2013)
    It is a significant challenge to classify images with multiple labels by using only a small number of labeled samples. One option is to learn a binary classifier for each label and use manifold regularization to improve ...
  • Luo, Yong; Tao, Dacheng; Xu, C; Xu, Chao; Liu, Hong; Wen, Yg (IEEE-Inst Electrical Electronics Engineers Inc, 2013)
    In computer vision, image datasets used for classification are naturally associated with multiple labels and comprised of multiple views, because each image may contain several objects (e.g., pedestrian, bicycle, and tree) ...
  • Geng, Bo; Li, Yangxi; Tao, Dacheng; Wang, Meng; Zha, Zheng-Jun; Xu, Chao (IEEE, 2012)
    Existing video concept detectors are generally built upon the kernel based machine learning techniques, e.g., support vector machines, regularized least squares, and logistic regression, just to name a few. However, in ...
  • Luo, Yong; Tao, Dacheng; Xu, Chao (Springer New York, 2013)
    Dozens of manifold learning-based dimensionality reduction algorithms have been proposed in the literature. The most representative ones are locally linear embedding (LLE) [65], ISOMAP [76], Laplacian eigenmaps (LE) [4], ...
  • Li, Yangxi; Geng, Bo; Yang, Linjun; Xu, Chao; Bian, Wei (Elsevier Science Bv, 2012)
    Query difficulty estimation predicts the performance of the search result of the given query. It is a powerful tool for multimedia retrieval and receives increasing attention. It can guide the pseudo relevance feedback to ...
  • Luo, Yong; Tao, Dacheng; Xu, Chang; Li, Dongchen; Xu, Chao (AAAI Press, 2013)
    Images are usually associated with multiple labels and comprised of multiple views, due to each image containing several objects (e.g. a pedestrian, bicycle and tree) and multiple visual features (e.g. color, texture and ...
  • Shi, Miaojing; Xu, Ruixin; Tao, Dacheng; Xu, Chao (IEEE-Inst Electrical Electronics Engineers Inc, 2013)
    The bag-of-visual-words representation has been widely used in image retrieval and visual recognition. The most time-consuming step in obtaining this representation is the visual word generation, i.e., assigning visual ...