Search Results - Communication AND Control Engineering::Signal Processing::Pattern Recognition AND Analysis*

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  1. 1

    Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study by Borji, Ali, Sihite, D. N., Itti, L.

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: New York, NY IEEE 01.01.2013
    Published in IEEE transactions on image processing (01.01.2013)
    “…Visual attention is a process that enables biological and machine vision systems to select the most relevant regions from a scene. Relevance is determined by…”
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    Journal Article
  2. 2

    Analysis of focus measure operators for shape-from-focus by Pertuz, Said, Puig, Domenec, Garcia, Miguel Angel

    ISSN: 0031-3203, 1873-5142
    Published: Kidlington Elsevier Ltd 01.05.2013
    Published in Pattern recognition (01.05.2013)
    “…Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth recovery and 3D reconstruction method. One of the main stages in SFF is…”
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    Journal Article
  3. 3

    Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person by Lu, Jiwen, Tan, Yap-Peng, Wang, Gang

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: Los Alamitos, CA IEEE 01.01.2013
    “…Conventional appearance-based face recognition methods usually assume that there are multiple samples per person (MSPP…”
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  4. 4

    Kernel Entropy Component Analysis by Jenssen, R.

    ISSN: 0162-8828, 1939-3539, 1939-3539
    Published: Los Alamitos, CA IEEE 01.05.2010
    “…We introduce kernel entropy component analysis (kernel ECA) as a new method for data transformation and dimensionality reduction…”
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  5. 5

    ViBe: A Universal Background Subtraction Algorithm for Video Sequences by Barnich, O, Van Droogenbroeck, M

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: New York, NY IEEE 01.06.2011
    Published in IEEE transactions on image processing (01.06.2011)
    “…This paper presents a technique for motion detection that incorporates several innovative mechanisms. For example, our proposed technique stores, for each…”
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  6. 6

    A survey on still image based human action recognition by Guo, Guodong, Lai, Alice

    ISSN: 0031-3203, 1873-5142
    Published: Kidlington Elsevier Ltd 01.10.2014
    Published in Pattern recognition (01.10.2014)
    “…Recently still image-based human action recognition has become an active research topic in computer vision and pattern recognition…”
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  7. 7

    Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition by Zhuolin Jiang, Zhe Lin, Davis, L. S.

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: Los Alamitos, CA IEEE 01.11.2013
    “…A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training…”
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  8. 8

    Maximum Correntropy Criterion for Robust Face Recognition by RAN HE, ZHENG, Wei-Shi, HU, Bao-Gang

    ISSN: 0162-8828, 1939-3539, 1939-3539
    Published: Los Alamitos, CA IEEE 01.08.2011
    “…In this paper, we present a sparse correntropy framework for computing robust sparse representations of face images for recognition…”
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  9. 9

    Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution by Huang, Shih-Chia, Cheng, Fan-Chieh, Chiu, Yi-Sheng

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: New York, NY IEEE 01.03.2013
    Published in IEEE transactions on image processing (01.03.2013)
    “… Enhancement plays a significant role in digital image processing, computer vision, and pattern recognition…”
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  10. 10

    Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis by Zhu, Xiaofeng, Huang, Zi, Tao Shen, Heng, Cheng, Jian, Xu, Changsheng

    ISSN: 0031-3203, 1873-5142
    Published: Kidlington Elsevier Ltd 01.08.2012
    Published in Pattern recognition (01.08.2012)
    “… Second, in the new RKHS, Kernel CCA is further improved by performing Principal Component Analysis (PCA…”
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  11. 11

    Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary by Deng, Weihong, Hu, Jiani, Guo, Jun

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: Los Alamitos, CA IEEE 01.09.2012
    “…Sparse Representation-Based Classification (SRC) is a face recognition breakthrough in recent years which has successfully addressed the recognition problem with sufficient training images of each gallery subject…”
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  12. 12

    Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice by Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li, Jie Yang, Jingyi Yu, Matsushita, Y., Brown, M. S.

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: Los Alamitos, CA IEEE 01.10.2013
    “…This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. We present a comprehensive study to analyze the…”
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  13. 13

    Distance Regularized Level Set Evolution and Its Application to Image Segmentation by Chunming Li, Chenyang Xu, Changfeng Gui, Fox, Martin D

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: New York, NY IEEE 01.12.2010
    Published in IEEE transactions on image processing (01.12.2010)
    “…Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically…”
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  14. 14

    A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites by Kharrat, M., Ramasso, E., Placet, V., Boubakar, M.L.

    ISSN: 0888-3270, 1096-1216
    Published: Elsevier Ltd 01.03.2016
    Published in Mechanical systems and signal processing (01.03.2016)
    “… This work suggests an approach based on the Discrete Wavelet Transform (DWT) denoising applied on signal segments…”
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  15. 15

    Principal Components Analysis Preprocessing for Improved Classification Accuracies in Pattern-Recognition-Based Myoelectric Control by Hargrove, Levi J., Li, Guanglin, Englehart, Kevin B., Hudgins, Bernard S.

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Published: United States IEEE 01.05.2009
    “…Information extracted from multiple channels of the surface myoelectric signal (MES) recording sites can be used as inputs to control systems for powered upper limb prostheses…”
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  16. 16

    Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition by Yang, Jian, Chu, Delin, Zhang, Lei, Xu, Yong, Yang, Jingyu

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: New York, NY IEEE 01.07.2013
    “…A sparse representation-based classifier (SRC) is developed and shows great potential for real-world face recognition…”
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  17. 17

    A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition by Yong Xu, Zhang, D., Jian Yang, Jing-Yu Yang

    ISSN: 1051-8215, 1558-2205
    Published: New York, NY IEEE 01.09.2011
    “…In this paper, we propose a two-phase test sample representation method for face recognition…”
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  18. 18

    A novel hybrid CNN–SVM classifier for recognizing handwritten digits by Niu, Xiao-Xiao, Suen, Ching Y.

    ISSN: 0031-3203, 1873-5142
    Published: Kidlington Elsevier Ltd 01.04.2012
    Published in Pattern recognition (01.04.2012)
    “…: Convolutional Neural Network (CNN) and Support Vector Machine (SVM), which have proven results in recognizing different types of patterns…”
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  19. 19

    Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications by Shenghua Gao, Tsang, Ivor Wai-Hung, Liang-Tien Chia

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: Los Alamitos, CA IEEE 01.01.2013
    “…Sparse coding exhibits good performance in many computer vision applications. However, due to the overcomplete codebook and the independent coding process, the…”
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  20. 20

    Robust Tensor Analysis With L1-Norm by Pang, Yanwei, Li, Xuelong, Yuan, Yuan

    ISSN: 1051-8215, 1558-2205
    Published: New York, NY IEEE 01.02.2010
    “…Tensor analysis plays an important role in modern image and vision computing problems…”
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