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245	1	0	_aReproducible Research in Pattern Recognition _h[electronic resource] : _bThird International Workshop, RRPR 2021, Virtual Event, January 11, 2021, Revised Selected Papers / _cedited by Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot.
250			_a1st ed. 2021.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021.
300			_aX, 173 p. 72 illus., 54 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aImage Processing, Computer Vision, Pattern Recognition, and Graphics, _x3004-9954 ; _v12636
505	0		_aReproduced Papers.org: Openly Teaching and Structuring Machine Learning Reproducibility -- Reproducibility: Evaluating the Evaluations -- torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation -- Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection -- Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analysis -- Tree Defect Segmentation Using Geometric Features and CNN -- Pith Estimation on Tree Log End Images -- Structure and Concept of the Benchmark for Vesselness Filters with Focus on Reproducibilty and Future Evaluations -- A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes -- On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation -- Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors -- Reproducing the Sparse Huffman Address Map Compression for Deep Nural Networks -- Implementation of Genetic Pseudo Rehearsal.
520			_aThis book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions. The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.
650		0	_aApplication software.
650		0	_aComputer engineering.
650		0	_aComputer networks .
650		0	_aComputers.
650		0	_aArtificial intelligence.
650		0	_aComputers, Special purpose.
650	1	4	_aComputer and Information Systems Applications.
650	2	4	_aComputer Engineering and Networks.
650	2	4	_aComputing Milieux.
650	2	4	_aArtificial Intelligence.
650	2	4	_aComputer Communication Networks.
650	2	4	_aSpecial Purpose and Application-Based Systems.
700	1		_aKerautret, Bertrand. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aColom, Miguel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKrähenbühl, Adrien. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLopresti, Daniel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMonasse, Pascal. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTalbot, Hugues. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030764227
776	0	8	_iPrinted edition: _z9783030764241
830		0	_aImage Processing, Computer Vision, Pattern Recognition, and Graphics, _x3004-9954 ; _v12636
856	4	0	_uhttps://doi.org/10.1007/978-3-030-76423-4
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