Výsledky vyhledávání - "ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric"
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Zdroj: DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology ; https://hal.science/hal-03738665 ; DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France
Témata: Morphological operators, Max-plus algebra, Graph theory, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.1: Morphological, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.2: Grayscale manipulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.1: Invariants, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.3: Projections, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT], [MATH.MATH-OA]Mathematics [math]/Operator Algebras [math.OA], [MATH.MATH-SP]Mathematics [math]/Spectral Theory [math.SP]
Geografické téma: Strasbourg, France
Relation: info:eu-repo/semantics/altIdentifier/arxiv/2207.13926; ARXIV: 2207.13926
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Zdroj: DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology ; https://hal.science/hal-03738665 ; DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France
Témata: Morphological operators, Max-plus algebra, Graph theory, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.1: Morphological, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.2: Grayscale manipulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.1: Invariants, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.3: Projections, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT], [MATH.MATH-OA]Mathematics [math]/Operator Algebras [math.OA], [MATH.MATH-SP]Mathematics [math]/Spectral Theory [math.SP]
Geografické téma: Strasbourg, France
Relation: info:eu-repo/semantics/altIdentifier/arxiv/2207.13926; ARXIV: 2207.13926
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Zdroj: DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology ; https://hal.science/hal-03738665 ; DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France
Témata: Morphological operators, Max-plus algebra, Graph theory, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.1: Morphological, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.2: Grayscale manipulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.1: Invariants, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.3: Projections, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT], [MATH.MATH-OA]Mathematics [math]/Operator Algebras [math.OA], [MATH.MATH-SP]Mathematics [math]/Spectral Theory [math.SP]
Geografické téma: Strasbourg, France
Relation: info:eu-repo/semantics/altIdentifier/arxiv/2207.13926; hal-03738665; https://hal.science/hal-03738665; https://hal.science/hal-03738665v2/document; https://hal.science/hal-03738665v2/file/max_plus.pdf; ARXIV: 2207.13926
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Zdroj: DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology ; https://hal.archives-ouvertes.fr/hal-03738665 ; DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France
Témata: Morphological operators, Max-plus algebra, Graph theory, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.1: Morphological, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.2: Grayscale manipulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.1: Invariants, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.3: Projections, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT], [MATH.MATH-OA]Mathematics [math]/Operator Algebras [math.OA], [MATH.MATH-SP]Mathematics [math]/Spectral Theory [math.SP]
Geografické téma: Strasbourg, France
Relation: info:eu-repo/semantics/altIdentifier/arxiv/2207.13926; hal-03738665; https://hal.archives-ouvertes.fr/hal-03738665; https://hal.archives-ouvertes.fr/hal-03738665/document; https://hal.archives-ouvertes.fr/hal-03738665/file/max_plus.pdf; ARXIV: 2207.13926
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Zdroj: Proceedings of 7th International Scientific and Practical Conference 'Internet and Society. Modeling'. INSO2015. Akaki Tsereteli State University ; 7th International Scientific and Practical Conference 'Internet and Society. Modeling'. INSO2015. ; https://hal.archives-ouvertes.fr/hal-01949042 ; 7th International Scientific and Practical Conference 'Internet and Society. Modeling'. INSO2015., Jul 2015, Kutaisi, Georgia
Témata: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.1: Imaging geometry, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.2: Geometrical problems and computations, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SHS.GEO]Humanities and Social Sciences/Geography
Relation: hal-01949042; https://hal.archives-ouvertes.fr/hal-01949042; https://hal.archives-ouvertes.fr/hal-01949042/document; https://hal.archives-ouvertes.fr/hal-01949042/file/Lemenkova-Kutaisi-INSO-2015-80-85.pdf
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Zdroj: Geometric Science of Information ; International Conference on Geometric Science of Information ; https://hal.science/hal-03357235 ; International Conference on Geometric Science of Information, Jul 2021, Paris, France. pp.772-780, ⟨10.1007/978-3-030-80209-7_83⟩
Témata: neuro-oncology, MRI, multimodality, information theory, shape optimization, segmentation evaluation, segmentation fusion, mutual shape, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.3: Gradient methods, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.0: Approximation of surfaces and contours, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.1: Systems and Information Theory/H.1.1.1: Information theory, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.7: Shape, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.1: Feature evaluation and selection, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
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Zdroj: Geometric Science of Information ; International Conference on Geometric Science of Information ; https://hal.science/hal-03357235 ; International Conference on Geometric Science of Information, Jul 2021, Paris, France. pp.772-780, ⟨10.1007/978-3-030-80209-7_83⟩
Témata: neuro-oncology, MRI, multimodality, information theory, shape optimization, segmentation evaluation, segmentation fusion, mutual shape, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.3: Gradient methods, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.0: Approximation of surfaces and contours, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.1: Systems and Information Theory/H.1.1.1: Information theory, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.7: Shape, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.1: Feature evaluation and selection, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
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Zdroj: Geometric Science of Information ; International Conference on Geometric Science of Information ; https://hal.science/hal-03357235 ; International Conference on Geometric Science of Information, Jul 2021, Paris, France. pp.772-780, ⟨10.1007/978-3-030-80209-7_83⟩
Témata: mutual shape, segmentation fusion, segmentation evaluation, shape optimization, information theory, neuro-oncology, MRI, multimodality, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.3: Gradient methods, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.0: Approximation of surfaces and contours, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.1: Systems and Information Theory/H.1.1.1: Information theory, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.7: Shape, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.1: Feature evaluation and selection, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
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Zdroj: Geometric Science of Information ; https://hal.archives-ouvertes.fr/hal-03357235 ; Geometric Science of Information, 12829, Springer International Publishing; Springer International Publishing, pp.772-780, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-80209-7_83⟩
Témata: ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.3: Gradient methods, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.2: Approximation/G.1.2.0: Approximation of surfaces and contours, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES/H.1.1: Systems and Information Theory/H.1.1.1: Information theory, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.7: Shape, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.1: Feature evaluation and selection, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Relation: hal-03357235; https://hal.archives-ouvertes.fr/hal-03357235
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Zdroj: ISSN: 0031-3203 ; Pattern Recognition ; https://inria.hal.science/hal-01356174 ; Pattern Recognition, 2016, 57, ⟨10.1016/j.patcog.2016.03.022⟩.
Témata: Dynamic Programming, Shape descriptors, shape matching, salient features, ordered part correspondence, Chordal Axis Transform, dynamic 2D shape segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.0: Feature representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Relation: hal-01356174; https://inria.hal.science/hal-01356174; https://inria.hal.science/hal-01356174/document; https://inria.hal.science/hal-01356174/file/Shape%20Correspondence2.pdf
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Zdroj: Perspectives for the Development of Higher Education ; https://hal.science/hal-01972865 ; Perspectives for the Development of Higher Education, Grodno State Agrarian University GGAU, Apr 2014, Grodno, Belarus. pp.284-286, ⟨10.6084/m9.figshare.7211933⟩
Témata: Land cover and land use changes, Land Cover Mapping, Environmental Assessment, Landscape analysis, Mapping, GIS & Spatial Analyses, Geoinformatics, Geoinformation, Estonia, CORINE LAND COVER, CORINE biotopes, CORINE land-use, Satellite image interpretation, Satellite image analysis, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
Relation: hal-01972865; https://hal.science/hal-01972865; https://hal.science/hal-01972865/document; https://hal.science/hal-01972865/file/Lemenkova_Grodno2014.pdf
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Zdroj: Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment ; https://inria.hal.science/inria-00481535 ; Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Sep 2009, Kyoto, Japan
Témata: manifold learning, shape, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Time: Kyoto, Japan
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Zdroj: Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment ; https://hal.inria.fr/inria-00481535 ; Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Sep 2009, Kyoto, Japan
Témata: manifold learning, shape, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Time: Kyoto, Japan
Relation: inria-00481535; https://hal.inria.fr/inria-00481535; https://hal.inria.fr/inria-00481535/document; https://hal.inria.fr/inria-00481535/file/learning_shapes_final.pdf
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Zdroj: Seventh International Workshop on Graphics Recognition - GREC'2007 ; https://inria.hal.science/inria-00184880 ; Seventh International Workshop on Graphics Recognition - GREC'2007, IAPR TC-10 (Technical Committee on Graphics Recognition), Sep 2007, Curitiba, Brazil. 11 p
Témata: technical drawings, graphic recognition, vector representation, inexact graph matching, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.0: Feature representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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Zdroj: Seventh International Workshop on Graphics Recognition - GREC'2007 ; https://hal.inria.fr/inria-00184880 ; Seventh International Workshop on Graphics Recognition - GREC'2007, IAPR TC-10 (Technical Committee on Graphics Recognition), Sep 2007, Curitiba, Brazil. 11 p
Témata: technical drawings, graphic recognition, vector representation, inexact graph matching, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.0: Feature representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Relation: inria-00184880; https://hal.inria.fr/inria-00184880; https://hal.inria.fr/inria-00184880/document; https://hal.inria.fr/inria-00184880/file/grec07.pdf
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Zdroj: Perspectives for the Development of Higher Education ; https://hal.science/hal-01972865 ; Perspectives for the Development of Higher Education, Grodno State Agrarian University GGAU, Apr 2014, Grodno, Belarus. pp.284-286, ⟨10.6084/m9.figshare.7211933⟩
Témata: Land cover and land use changes, Land Cover Mapping, Environmental Assessment, Landscape analysis, Mapping, GIS & Spatial Analyses, Geoinformatics, Geoinformation, Estonia, CORINE LAND COVER, CORINE biotopes, CORINE land-use, Satellite image interpretation, Satellite image analysis, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
Relation: https://hal.science/hal-01972865/file/Lemenkova_Grodno2014.pdf; https://hal.science/hal-01972865
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Autoři: a další
Přispěvatelé: a další
Zdroj: https://hal.inria.fr/tel-01212781 ; Graphics [cs.GR]. Telecom ParisTech, 2015. English. ⟨NNT : 2015-ENST-0035⟩.
Témata: garment design, quadrangular mesh, sketching, 2D shape descriptor, dynamic programming, sketch-based 3D object retrieval, modélisation de vêtements, maillage quadrangulaire, modélisation par croquis, descripteur de forme 2D, programmation dynamique, recherche de modèles 3D par croquis, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Relation: NNT: 2015-ENST-0035; tel-01212781; https://hal.inria.fr/tel-01212781; https://hal.inria.fr/tel-01212781/document; https://hal.inria.fr/tel-01212781/file/ThesisZYasseen_ParisTechFormat.pdf
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18
Autoři: a další
Přispěvatelé: a další
Zdroj: https://hal.inria.fr/tel-01223709 ; Traitement du signal et de l'image [eess.SP]. Télécom ParisTech, 2015. Français. ⟨NNT : 2015ENST0016⟩.
Témata: plant species identification, 2D shape descriptor, multi-scale triangular representation, shape context, local features matching, late fusion, descripteur de forme 2D, représentation triangulaire multi-échelle, contexte de forme, mise en correspondance locale, fusion tardive, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Relation: NNT: 2015ENST0016; tel-01223709; https://hal.inria.fr/tel-01223709; https://hal.inria.fr/tel-01223709v2/document; https://hal.inria.fr/tel-01223709v2/file/Thes_Sofiene_Mouine.pdf
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19
Autoři: a další
Přispěvatelé: a další
Zdroj: https://hal.science/tel-01167056 ; Intelligence artificielle [cs.AI]. Ecole Doctorale de l'Universite Paris Sud XI (ED 427), 2012.
Témata: Artificial Intelligence, Computational Topology, Dimension Reduction, Manifold Learning, Data Analytic, Visual Analytic, Machine Learning, Intelligence Artificielle, Apprentissage automatique, Visualisation Analytique, Analyse de donnees, Topologie Algorithmique, Reduction de dimension, Apprentissage de varietes, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.2: Pattern analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.4: Graphical user interfaces (GUI), HCI)/H.5.2: User Interfaces/H.5.2.13: Theory and methods, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.0: Classifier design and evaluation, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Relation: tel-01167056; https://hal.science/tel-01167056; https://hal.science/tel-01167056/document; https://hal.science/tel-01167056/file/HDR_MichaelAUPETIT_CR.pdf
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