Search Results - "Jufu Feng"

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  1. 1

    On the Euclidean distance of images by Wang, Liwei, Zhang, Yan, Feng, Jufu

    “…We present a new Euclidean distance for images, which we call image Euclidean distance (IMED). Unlike the traditional Euclidean distance, IMED takes into…”
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    Journal Article
  2. 2

    Combining global and minutia deep features for partial high-resolution fingerprint matching by Zhang, Fandong, Xin, Shiyuan, Feng, Jufu

    Published in Pattern recognition letters (01-03-2019)
    “…•We propose a model for mobile optical fingerprint authentication.•We propose pipelines to learn global and minutia deep features for fingerprints.•We fuse…”
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    Journal Article
  3. 3

    Minutia tensor matrix: a new strategy for fingerprint matching by Fu, Xiang, Feng, Jufu

    Published in PloS one (30-03-2015)
    “…Establishing correspondences between two minutia sets is a fundamental issue in fingerprint recognition. This paper proposes a new tensor matching strategy…”
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    Journal Article
  4. 4

    Reconstruction based face occlusion elimination for recognition by Li, Yuelong, Feng, Jufu

    Published in Neurocomputing (Amsterdam) (04-02-2013)
    “…SRC is a recent breakthrough on occluded face recognition, but raw SRC is slow and inaccurate because both occlusion elimination and face recognition are…”
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    Journal Article
  5. 5

    On image matrix based feature extraction algorithms by Wang, Liwei, Wang, Xiao, Feng, Jufu

    “…Principal component analysis (PCA) and linear discriminant analysis (LDA) are two important feature extraction methods and have been widely applied in a…”
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    Journal Article
  6. 6

    Robust sparse representation based face recognition in an adaptive weighted spatial pyramid structure by Ma, Xiao, Zhang, Fandong, Li, Yuelong, Feng, Jufu

    “…The sparse representation based classification methods has achieved significant performance in recent years. To fully exploit both the holistic and locality…”
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    Journal Article
  7. 7

    Collaborative representation Bayesian face recognition by Feng, Jufu, Ma, Xiao, Zhuang, Wenjing

    Published in Science China. Information sciences (01-04-2017)
    “…In recent years,a series of subspace methods,named the collaborative representation based methods,have aroused researchers’interests.Inspired by the idea of…”
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    Journal Article
  8. 8

    Learning a generative classifier from label proportions by Fan, Kai, Zhang, Hongyi, Yan, Songbai, Wang, Liwei, Zhang, Wensheng, Feng, Jufu

    Published in Neurocomputing (Amsterdam) (02-09-2014)
    “…Learning a classifier when only knowing the features and marginal distribution of class labels in each of the data groups is both theoretically interesting and…”
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    Journal Article Conference Proceeding
  9. 9

    High-resolution palmprint minutiae extraction based on Gabor feature by Feng, JuFu, Liu, ChongJin, Wang, Han, Sun, Bing

    Published in Science China. Information sciences (01-11-2014)
    “…Extracting effective minutiae is difficult for high-resolution palmprint, because of the strong influence from principal lines, creases, and other noises. In…”
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    Journal Article
  10. 10

    Face illumination compensation dictionary by Li, Yuelong, Meng, Li, Feng, Jufu

    Published in Neurocomputing (Amsterdam) (04-02-2013)
    “…Face images captured under distinct lighting conditions have totally different overall appearances, which greatly degrade the recognition accuracy. In this…”
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    Journal Article
  11. 11

    Downsampling sparse representation and discriminant information aided occluded face recognition by Li, YueLong, Meng, Li, Feng, JuFu, Wu, JiGang

    Published in Science China. Information sciences (01-02-2014)
    “…In this paper, a strategy is proposed to deal with a challenging research topic, occluded face recog- nition. Our approach relies on sparse representation on…”
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    Journal Article
  12. 12

    On Feature Extraction via Kernels by Yang, Cheng, Wang, Liwei, Feng, Jufu

    “…Using the kernel trick idea and the kernels-as-features idea, we can construct two kinds of nonlinear feature spaces, where linear feature extraction…”
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    Journal Article
  13. 13

    The equivalence of two-dimensional PCA to line-based PCA by Wang, Liwei, Wang, Xiao, Zhang, Xuerong, Feng, Jufu

    Published in Pattern recognition letters (2005)
    “…The state-of-the-art in human face recognition is the subspace methods originated by the Principal Component Analysis (PCA), the Eigenfaces of the facial…”
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    Journal Article
  14. 14

    Comments on "Fundamental limits of reconstruction-based superresolution algorithms under local translation" by Wang, Liwei, Feng, Jufu

    “…Fundamental limits of reconstruction-based superresolution were proposed in Z. Lin and H. Y. Shum (IEEE Trans. Pattern Analysis and Machine Intelligence, vol…”
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    Journal Article
  15. 15

    Further results on the subspace distance by Sun, Xichen, Wang, Liwei, Feng, Jufu

    Published in Pattern recognition (2007)
    “…In previous papers [L. Wang, X. Wang, J. Feng, Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition, Pattern…”
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    Journal Article
  16. 16

    Sparse Representation Shape Models by Li, Yuelong, Feng, Jufu, Meng, Li, Wu, Jigang

    “…It is well-known that, during shape extraction, enrolling an appropriate shape constraint model could effectively improve locating accuracy. In this paper, a…”
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    Journal Article
  17. 17

    Further results on the margin explanation of boosting: new algorithm and experiments by Wang, LiWei, Deng, XiaoCheng, Jing, ZhaoXiang, Feng, JuFu

    Published in Science China. Information sciences (01-07-2012)
    “…Understanding the empirical success of boosting algorithms is an important theoretical problem in machine learning. One of the most influential works is the…”
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    Journal Article
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  19. 19

    Robust low-rank subspace recovery and face image denoising for face recognition by Mingyang Jiang, Jufu Feng

    “…We propose a low-rank subspace recovery and image denoising method for face recognition. Traditional subspace methods commonly assume that face images from a…”
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    Conference Proceeding
  20. 20

    Sparse representation shape model by Yuelong Li, Jufu Feng

    “…This paper introduces a novel shape model, Sparse Representation Shape Model (SRSM). Rather than for modeling specific deformable shapes, this model is…”
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    Conference Proceeding