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Reproducible Research In Pattern Recognition First Intern

 
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MessagePosté le: Jeu 6 Juil - 08:48 (2017)    Sujet du message: Reproducible Research In Pattern Recognition First Intern Répondre en citant



This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Reproducible Research in Pattern Recognition, RRPR 2016, held in Cancún, Mexico, in December 2016.
The 12 revised full papers, among them 2 invited talks, presented were carefully reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research results, previous works on reproducible research.



Details:
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bound: 179 pages
publisher: Springer; 1st ed. 2017 edition (April 4, 2017)
lang: English
asin: B06Y1G3M71
isbn:
weight:
filesize: 5914 KB



Reproducible Research in Pattern Recognition: First International Workshop, RRPR 2016, Cancún, Mexico, December 4, 2016, Revised Selected Papers (Lecture Notes in Computer Science) Bertrand Kerautret
Reproducible Research in Pattern Recognition: First International Workshop, RRPR 2016, Cancún, Mexico, December 4, 2016, Revised Selected Papers (Lecture Notes in Computer Science) book 4Shared Reproducible Research in Pattern Recognition: First International Workshop, RRPR 2016, Cancún, Mexico, December 4, 2016, Revised Selected Papers (Lecture Notes in Computer Science) full ebook

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Please enable JavaScript to view the comments powered by Disqus75-87viewelectronic edition via DOIexport recordBibTeXRISRDF N-TriplesRDF/XMLXMLdblp key:conf/icpr/2016rrprask othersGoogleGoogle ScholarMS AcademicCiteSeerXCORESemantic Scholarshare recordTwitterRedditMendeleyBibSonomyLinkedInGoogle+Facebookshort URL: Kerautret, Miguel Colom, Pascal Monasse: Reproducible Research in Pattern Recognition - First International Workshop, RRPRICPR 2016, Cancn, Mexico, December 4, 2016, Revised Selected PapersThe papers are organized in topical sections on image coding, processing and analysis segmentation, analysis of shape and texture analysis of signal, speech and language document processing and recognition feature extraction, clustering and classification pattern recognition and machine learning neural networks for pattern recognition computer vision and robot vision video segmentation and trackingReproducible Research ResultsImage Processing 24(10): 3162-3175 (2015)[c3]viewelectronic edition via DOIexport recordBibTeXRISRDF N-TriplesRDF/XMLXMLdblp key:conf/ntms/ColomKLMM15ask othersGoogleGoogle ScholarMS AcademicCiteSeerXCORESemantic Scholarshare recordTwitterRedditMendeleyBibSonomyLinkedInGoogle+Facebookshort URL: Colom, Bertrand Kerautret, Nicolas Limare, Pascal Monasse, Jean-Michel Morel: IPOL: A new journal for fully reproducible research; analysis of four years development(Lecture Notes in Computer Science)Searches related to 'Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, default search actioncombined dblp searchauthor searchvenue searchpublication searchSemantic Scholar searchAuthors:no matchesVenues:no matchesPublications:no matchesask othersGoogleGoogle ScholarMS AcademicCiteSeerXCORESemantic Scholar Krijthe Pages 104-115 On the Implementation of Centerline Extraction Based on Confidence Vote in Accumulation Map Bertrand Kerautret, Adrien Krhenbhl, Isabelle Debled-Rennesson, Jacques-Olivier Lachaud Pages 116-130 An Algorithm to Decompose Noisy Digital Contours Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson, Bertrand Kerautret Pages 131-149 Algorithms and Implementation for Segmenting Tree Log Surface Defects Van-Tho Nguyen, Bertrand Kerautret, Isabelle Debled-Rennesson, Francis Colin, Alexandre Piboule, Thiry Constant Pages 150-166 The Multiscale Line Segment Detector Yohann Salan, Renaud Marlet, Pascal Monasse Pages 167-178 .Book Related: Implementing Reproducible Research Reproducible Research and Reports with R Markdown Behavioral Intervention Research: Designing, Evaluating, and Implementing Mobile Computing: Implementing Pervasive Information and Communications Technologies (Operations Research/Computer Science Interfaces Series) Reproducible Research in Pattern Recognition: First International Workshop, RRPR 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers (Lecture Notes in Computer Science) Easy, Reproducible Reports with R Implementing AppFog Implementing Sustainability Strategies in Networks and Clusters: Principles, Tools, and New Research Outcomes (CSR, Sustainability, Ethics & Governance) Implementing Netscaler VPX Implementing Mentoring Schemes Book Related: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, .data released under the ODC-BY1.0 license; see also our legal information page last updated on 2017-07-05 22:23 CEST by the dblp team104-115viewelectronic edition via DOIexport recordBibTeXRISRDF N-TriplesRDF/XMLXMLdblp key:conf/icpr/KerautretKDL16ask othersGoogleGoogle ScholarMS AcademicCiteSeerXCORESemantic Scholarshare recordTwitterRedditMendeleyBibSonomyLinkedInGoogle+Facebookshort URL: Kerautret, Adrien Krhenbhl, Isabelle Debled-Rennesson, Jacques-Olivier Lachaud: On the Implementation of Centerline Extraction Based on Confidence Vote in Accumulation MapIn computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication33-47viewelectronic edition via DOIexport recordBibTeXRISRDF N-TriplesRDF/XMLXMLdblp key:conf/icpr/KrijtheL16ask othersGoogleGoogle ScholarMS AcademicCiteSeerXCORESemantic Scholarshare recordTwitterRedditMendeleyBibSonomyLinkedInGoogle+Facebookshort URL: HSupplementary material is available at www.ImplementingRR.org3-16viewelectronic edition via DOIexport recordBibTeXRISRDF N-TriplesRDF/XMLXMLdblp key:conf/icpr/LamiroyL16ask othersGoogleGoogle ScholarMS AcademicCiteSeerXCORESemantic Scholarshare recordTwitterRedditMendeleyBibSonomyLinkedInGoogle+Facebookshort URL: Lamiroy, Daniel PReproducible Research Framework 07f867cfac



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