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  1. sciencedirect.com

    An official publication of the International Association for Pattern Recognition. Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition. Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving ...
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      Latest issue - Pattern Recognition Letters | Journal - ScienceDirect

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      All issues - Pattern Recognition Letters | Journal - ScienceDirect

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      Articles in press - Pattern Recognition Letters | Journal - ScienceDirect

    • Special issues and article collections

      Read the latest chapters of Pattern Recognition Letters at ScienceDirect.com, Elsevier's leading platform of peer-reviewed scholarly literature

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  3. web.eecs.umich.edu

    D.-J. Kim, T.-W. Ke and S.X. Yu Pattern Recognition Letters 172 (2023) 51-57 more balanced and help improve the discriminative ability of the model. 3. Local pseudo-attributes We introduce local pseudo-attributes and our contrastive learn- ing with pseudo-attributes for long-tailed recognition. LDAM-DRW 3.1. Problem definition
  4. sciencedirect.com

    Editorial for pattern recognition letters special issue on Advances in Disinformation Detection and Media Forensics. Irene Amerini, Victor Sanchez, Luca Maiano. Pages 21-22 View PDF; select article A method for evaluating deep generative models of images for hallucinations in high-order spatial context.
  5. My Computer Science and Engineering Department

    https://cse.sc.edu › ~songwang › document › prl17.pdf

    40 H. Guo et al. / Pattern Recognition Letters 94 (2017) 38-45 Fig. 2. Framework of the proposed method. tention heat map by tuning the original network for better human attribute recognition. 3. Proposed method Human attribute recognition is a binary classification problem: for each attribute, a binary classifier is trained to decide whether
  6. scimagojr.com

    Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition. Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. ...
  7. The evaluation of powder with the image analysis device FPIA-1000. In: Proceedings of the Japanese Socity of Powder Engineering, pp. 58-62 (in Japanese) Google Scholar; BIB7 S. Pei, J. Horng, Circular arc detection based on the Hough transform, Pattern Recognition Letters, 16 (1995) 615-625. Google Scholar
  8. sites.ecse.rpi.edu

    G. Nagy / Pattern Recognition Letters 79 (2016) 106-112 107 (invisible to the scanner) that avoids having to separate preprinted boxes from character strokes. Accuracy depends on the training, mo- tivation and consistency of the writer, and on the degree of contex-
  9. profile.iiita.ac.in

    S.K. Roy et al. / Pattern Recognition Letters 108 (2018) 23-30 25 texture image of sizes M x×M y, the distribution of local gray scale i.e. texture pattern is represented by building a 2 N bins discrete distribution of Lzp codes, given by H(λ) = M x−1 i=2 M y−1 j

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