Výsledky vyhledávání - "ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical"

The Riemannian Means Field Classifier for EEG-Based BCI Data

Autoři: Andreev, Anton Cattan, Grégoire Congedo, Marco a další

Přispěvatelé: Andreev, Anton Cattan, Grégoire Congedo, Marco a další

Zdroj: ISSN: 1424-8220 ; Sensors ; https://hal.science/hal-05043032 ; Sensors, 2025, 25 (7), pp.2305. ⟨10.3390/s25072305⟩.

Témata: Brain computer interface BCI, P300 classification, Motor Imagery MI, Electroencephalography EEG, Riemannian geometry, Event related potentials ERP, Machine learning ML, Differential geometry, Signal and Image Processing, Interface cerveau machine ICM, Interface cerveau-ordinateur ICO, P300, Potentiel Evoqué Cognitif PEC, Imagination motrice IM, Geometrie riemannienne, Electroencephalograhie EEG, Apprentissage automatique ML, Geometrie differentielle, Traitement du signal et de l'image, Classification du signal EEG, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI), 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.5.4: Applications/I.5.4.1: Signal processing, [SCCO.NEUR]Cognitive science/Neuroscience, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SCCO]Cognitive science, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2504.17352; ARXIV: 2504.17352

Dostupnost: https://hal.science/hal-05043032
https://hal.science/hal-05043032v1/document
https://hal.science/hal-05043032v1/file/manuscript.v8_HAL.pdf
https://doi.org/10.3390/s25072305

Adaptive Scattering Transforms for Playing Technique Recognition

Autoři: Wang, Changhong Benetos, Emmanouil Lostanlen, Vincent a další

Přispěvatelé: Wang, Changhong Benetos, Emmanouil Lostanlen, Vincent a další

Zdroj: IEEE/ACM Transactions on Audio, Speech, and Language Processing

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], music performance analysis, 02 engineering and technology, [STAT.CO] Statistics [stat]/Computation [stat.CO], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Scattering, Wavelet transforms, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [SHS.STAT] Humanities and Social Sciences/Methods and statistics, Music performance analysis, 0202 electrical engineering, electronic engineering, information engineering, scattering transform, [STAT.CO]Statistics [stat]/Computation [stat.CO], Multiple signal classification, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts, [SHS.STAT]Humanities and Social Sciences/Methods and statistics, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, Time-frequency analysis, music signal analysis, [SHS.MUSIQ] Humanities and Social Sciences/Musicology and performing arts, Music signal analysis, Speech processing, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, Explainable artificial intelligence, flute music, Instruments, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Music

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-03629482v2
https://doi.org/10.1109/taslp.2022.3156785
https://hal.science/hal-03629482v2/document

Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean

Autoři: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), Marine Scholarship of China, State Oceanic Administration. Grant reference: 2016SOA002. a další

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), Marine Scholarship of China, State Oceanic Administration. Grant reference: 2016SOA002. a další

Zdroj: Virtual Simulation, Prototyping and Industrial Design ; https://hal.archives-ouvertes.fr/hal-01974752 ; Virtual Simulation, Prototyping and Industrial Design, Tambov State Technical University (TSTU), Nov 2018, Tambov, Russia. pp.147-152, ⟨10.6084/m9.figshare.7531550⟩ ; http://go.tstu.ru/meroprijatija.php?id=46&lang=ru

Témata: R Language, Programming, Algorithm, Oceanographic processes, Cluster Analysis, Pacific Ocean, Hierarchical clustering algorithm, Dendrogram structure, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, 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.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation/I.3.3.3: Display algorithms, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology

Geografické téma: Tambov, Russia

Relation: hal-01974752; https://hal.archives-ouvertes.fr/hal-01974752; https://hal.archives-ouvertes.fr/hal-01974752/document; https://hal.archives-ouvertes.fr/hal-01974752/file/Conf-Tambov2018-Lemenkova-147-152.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01974752
https://hal.archives-ouvertes.fr/hal-01974752/document
https://hal.archives-ouvertes.fr/hal-01974752/file/Conf-Tambov2018-Lemenkova-147-152.pdf
https://doi.org/10.6084/m9.figshare.7531550

Combining Structure and Parameter Adaptation of HMMs for Printed Text Recognition

Autoři: Ait-Mohand, Kamel Paquet, Thierry Ragot, Nicolas a další

Přispěvatelé: Ait-Mohand, Kamel Paquet, Thierry Ragot, Nicolas a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 36:1716-1732

Témata: Optimization, Optical character recognition software, parameter adaptation, Character recognition, structure adaptation, historical documents, Data models, Adaptation models, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 02 engineering and technology, 16. Peace & justice, ACM: I.: Computing Methodologies/I.7: DOCUMENT AND TEXT PROCESSING/I.7.5: Document Capture/I.7.5.2: Optical character recognition (OCR), ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, 03 medical and health sciences, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.0: Classifier design and evaluation, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], printed text recognition, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, 0202 electrical engineering, electronic engineering, information engineering, Training, Hidden Markov models, 0305 other medical science

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/26352227

Using GIS for Monitoring Lacustrine Ecosystem: a Case Study of Laguna de Gallocanta, Spain

Autoři: Lemenkova, Polina Ocean University of China (OUC) Swiss Government Excellence Scholarships for Foreign Scholars & Artists (ESKAS). Grant reference: 2008-0066/Russland/OP Referenz 675/Bri a další

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Swiss Government Excellence Scholarships for Foreign Scholars & Artists (ESKAS). Grant reference: 2008-0066/Russland/OP Referenz 675/Bri a další

Zdroj: Problems of the Environmental Landscape Planning ; https://hal.archives-ouvertes.fr/hal-01974747 ; Problems of the Environmental Landscape Planning, Novocherkasskij inzhenerno-meliorativnyj institut DGAU, Apr 2016, Novocherkassk, Russia. ⟨10.6084/m9.figshare.7210229⟩

Témata: Satellite image analysis, Image interpretation, Image classification, DEM analysis, DEM modelisation, DEM segmentation, Digital terrain analysis, Digital terrain model, Digital elevation model, Digital elevation model DEM, Spain, Environmental modeling, Hydrological modeling, SIG Systèmes d'information géographique, SIG et modélisation spatiale, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, 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.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

Geografické téma: Novocherkassk, Russia

Relation: hal-01974747; https://hal.archives-ouvertes.fr/hal-01974747; https://hal.archives-ouvertes.fr/hal-01974747/document; https://hal.archives-ouvertes.fr/hal-01974747/file/Lemenkova_Novocherkassk2016.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01974747
https://hal.archives-ouvertes.fr/hal-01974747/document
https://hal.archives-ouvertes.fr/hal-01974747/file/Lemenkova_Novocherkassk2016.pdf
https://doi.org/10.6084/m9.figshare.7210229

Regularized estimation of bathymetry and water quality using hyperspectral remote sensing

Autoři: Jay, Sylvain Guillaume, Mireille, Olwen HIPE (HIPE) a další

Přispěvatelé: Jay, Sylvain Guillaume, Mireille, Olwen HIPE (HIPE) a další

Zdroj: ISSN: 0143-1161.

Témata: remote sensing, estimation, hyperspectral, bathymetry, PACS 02, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere

Relation: IRSTEA: PUB00045786

Dostupnost: https://hal.science/hal-01279585
https://hal.science/hal-01279585v1/document
https://hal.science/hal-01279585v1/file/pub00045786.pdf
https://doi.org/10.1080/01431161.2015.1125551

Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis

Autoři: Badri, Hicham Yahia, Hussein Daoudi, Khalid a další

Přispěvatelé: Badri, Hicham Yahia, Hussein Daoudi, Khalid a další

Zdroj: European Conference on Computer Vision ; https://inria.hal.science/hal-01064793 ; European Conference on Computer Vision, ECCV 2014, Sep 2014, Zürich, Switzerland

Témata: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]

Geografické téma: Zürich, Switzerland

Dostupnost: https://inria.hal.science/hal-01064793
https://inria.hal.science/hal-01064793/document
https://inria.hal.science/hal-01064793/file/eccv2014.pdf

Learning from Multiple Graphs using a Sigmoid Kernel

Autoři: Ricatte, Thomas Garriga, Gemma, C. Gilleron, Rémi a další

Přispěvatelé: Ricatte, Thomas Garriga, Gemma, C. Gilleron, Rémi a další

Zdroj: The 12th International Conference on Machine Learning and Applications (ICMLA'13) ; https://inria.hal.science/hal-00913237 ; The 12th International Conference on Machine Learning and Applications (ICMLA'13), Dec 2013, Miami, United States

Témata: ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.6: Parameter learning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geografické téma: Miami, United States

Dostupnost: https://inria.hal.science/hal-00913237
https://inria.hal.science/hal-00913237v1/document
https://inria.hal.science/hal-00913237v1/file/main.pdf

Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering

Autoři: Varoquaux, Gaël Gramfort, Alexandre Thirion, Bertrand a další

Přispěvatelé: Varoquaux, Gaël Gramfort, Alexandre Thirion, Bertrand a další

Zdroj: International Conference on Machine Learning ; https://inria.hal.science/hal-00705192 ; International Conference on Machine Learning, Andrew McCallum, Jun 2012, Edimbourg, United Kingdom

Témata: brain imaging, fMRI, Sparse recovery, correlated design, clustering, randomization, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.5: Multivariate statistics, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]

Geografické téma: Edimbourg, United Kingdom

Dostupnost: https://inria.hal.science/hal-00705192
https://inria.hal.science/hal-00705192v1/document
https://inria.hal.science/hal-00705192v1/file/paper.pdf

Learning Shape Metrics based on Deformations and Transport

Autoři: Charpiat, Guillaume Perception Understanding Learning Systems for Activity Recognition (PULSAR) Centre Inria d'Université Côte d'Azur a další

Přispěvatelé: Charpiat, Guillaume Perception Understanding Learning Systems for Activity Recognition (PULSAR) Centre Inria d'Université Côte d'Azur a další

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]

Geografické téma: Kyoto, Japan

Time: Kyoto, Japan

Dostupnost: https://inria.hal.science/inria-00481535
https://inria.hal.science/inria-00481535v1/document
https://inria.hal.science/inria-00481535v1/file/learning_shapes_final.pdf

Subset seed automaton

Autoři: Kucherov, Gregory Noé, Laurent Roytberg, Mihkail a další

Přispěvatelé: Kucherov, Gregory Noé, Laurent Roytberg, Mihkail a další

Zdroj: CIAA 2007 ; https://hal.inria.fr/inria-00170414 ; CIAA 2007, Jul 2007, Prague, Czech Republic. pp.180-191, ⟨10.1007/978-3-540-76336-9_18⟩ ; http://www.springerlink.com/content/y824l20554002756/

Témata: ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.0: Biology and genetics, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.7: DOCUMENT AND TEXT PROCESSING/I.7.3: Index Generation, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.11: Renewal theory, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

Geografické téma: Prague, Czech Republic

Relation: inria-00170414; https://hal.inria.fr/inria-00170414; https://hal.inria.fr/inria-00170414/document; https://hal.inria.fr/inria-00170414/file/main.pdf

Dostupnost: https://hal.inria.fr/inria-00170414
https://hal.inria.fr/inria-00170414/document
https://hal.inria.fr/inria-00170414/file/main.pdf
https://doi.org/10.1007/978-3-540-76336-9_18

Supervised machine learning with kernel embeddings of fuzzy sets and probability measures

Autoři: Guevara, Jorge Computer vision research group (VISION) institute of mathematics and statistics university of são paulo a další

Přispěvatelé: Guevara, Jorge Computer vision research group (VISION) institute of mathematics and statistics university of são paulo a další

Zdroj: https://hal.archives-ouvertes.fr/hal-01317746 ; [Research Report] IME USP. 2016.

Témata: granular computing, fuzzy sets, kernel method, group anomaly detection, kernel embedding, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.1: Fuzzy set, 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.5.2: Design Methodology/I.5.2.0: Classifier design and evaluation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology/I.5.2.2: Pattern analysis, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: hal-01317746; https://hal.archives-ouvertes.fr/hal-01317746; https://hal.archives-ouvertes.fr/hal-01317746/document; https://hal.archives-ouvertes.fr/hal-01317746/file/bare_jrnl.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01317746
https://hal.archives-ouvertes.fr/hal-01317746/document
https://hal.archives-ouvertes.fr/hal-01317746/file/bare_jrnl.pdf

A framework for inter-subject prediction of functional connectivity from structural networks

Autoři: Deligianni, Fani Varoquaux, Gaël Thirion, Bertrand a další

Přispěvatelé: Deligianni, Fani Varoquaux, Gaël Thirion, Bertrand a další

Zdroj: ISSN: 0278-0062 ; IEEE Transactions on Medical Imaging ; https://inria.hal.science/hal-00852072 ; IEEE Transactions on Medical Imaging, 2013, epub ahead of print, ⟨10.1109/TMI.2013.2276916⟩ ; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6575192&tag=1.

Témata: structural brain connectivity, functional brain connectivity, statistical associations, predictive modeling, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SCCO.NEUR]Cognitive science/Neuroscience, [SDV.IB]Life Sciences [q-bio]/Bioengineering

Dostupnost: https://inria.hal.science/hal-00852072
https://inria.hal.science/hal-00852072v1/document
https://inria.hal.science/hal-00852072v1/file/paper.pdf
https://doi.org/10.1109/TMI.2013.2276916

A Concentration-Based Adaptive Approach to Region Merging of Optimal Time and Space Complexities

Autoři: Fiorio, Christophe Mas, Andre Image & Interaction (ICAR) a další

Přispěvatelé: Fiorio, Christophe Mas, Andre Image & Interaction (ICAR) a další

Zdroj: Proceedings of the British Machine Vision Conference ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168062 ; Proceedings of the British Machine Vision Conference, Sep 2000, Bristol, United Kingdom. ⟨10.5244/C.14.78⟩

Témata: Statistical image analysis, Image analysis, Image processing algorithm, Region segmentation, Region segmentation criterion, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

Geografické téma: Bristol, United Kingdom

Time: Bristol, United Kingdom

Dostupnost: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168062
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168062v1/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168062v1/file/FioNocBMVC00_A%20Concentration-Based%20Adaptive%20Approach%20to%20Region%20Merging%20of%20Optimal%20Time%20and%20Space%20Complexities.pdf
https://doi.org/10.5244/C.14.78

Total variation regularization for fMRI-based prediction of behaviour.

Autoři: Michel, Vincent Gramfort, Alexandre Varoquaux, Gaël a další

Přispěvatelé: Michel, Vincent Gramfort, Alexandre Varoquaux, Gaël a další

Zdroj: ISSN: 0278-0062 ; IEEE Transactions on Medical Imaging ; https://inria.hal.science/inria-00563468 ; IEEE Transactions on Medical Imaging, 2011, 30 (7), pp.1328 - 1340. ⟨10.1109/TMI.2011.2113378⟩.

Témata: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.9: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES/J.3.1: Health, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1102.1101; info:eu-repo/semantics/altIdentifier/pmid/21317080; ARXIV: 1102.1101; PUBMED: 21317080

Dostupnost: https://inria.hal.science/inria-00563468
https://inria.hal.science/inria-00563468v1/document
https://inria.hal.science/inria-00563468v1/file/arxiv_version.pdf
https://doi.org/10.1109/TMI.2011.2113378

Microcanonical multifractal formalism--a geometrical approach to multifractal systems: Part I. Singularity analysis

Autoři: Turiel, Antonio Yahia, Hussein Perez-Vicente, Conrad a další

Přispěvatelé: Turiel, Antonio Yahia, Hussein Perez-Vicente, Conrad a další

Zdroj: ISSN: 1751-8113 ; EISSN: 1751-8121 ; Journal of Physics A: Mathematical and Theoretical.

Témata: 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, 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, [PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn], [NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Relation: hal-00937370; https://hal.inria.fr/hal-00937370; https://hal.inria.fr/hal-00937370/document; https://hal.inria.fr/hal-00937370/file/Turiel-part1-2008.pdf

Dostupnost: https://hal.inria.fr/hal-00937370
https://hal.inria.fr/hal-00937370/document
https://hal.inria.fr/hal-00937370/file/Turiel-part1-2008.pdf
https://doi.org/10.1088/1751-8113/41/1/015501

Network Flow Algorithms for Structured Sparsity

Autoři: Mairal, Julien Jenatton, Rodolphe Obozinski, Guillaume a další

Přispěvatelé: Mairal, Julien Jenatton, Rodolphe Obozinski, Guillaume a další

Zdroj: https://inria.hal.science/inria-00512556 ; [Research Report] RR-7372, INRIA. 2010, pp.23.

Témata: convex optimization, sparsity, sparse methods, proximal methods, network flow optimization, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.13: Statistical computing, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.OT]Statistics [stat]/Other Statistics [stat.ML], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1008.5209; ARXIV: 1008.5209

Dostupnost: https://inria.hal.science/inria-00512556
https://inria.hal.science/inria-00512556/document
https://inria.hal.science/inria-00512556/file/RR-7372.pdf

Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets

Autoři: Durrleman, Stanley Pennec, Xavier Gerig, Guido a další

Přispěvatelé: Durrleman, Stanley Pennec, Xavier Gerig, Guido a další

Zdroj: https://inria.hal.science/inria-00408293 ; [Research Report] RR-6952, INRIA. 2009, 17 p.

Témata: longitudinal data, spatiotemporal variability, 4D registration, time regression, atlas construction, large deformation, diffeomorphism, currents, Computational Anatomy, 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.5.2: Design Methodology/I.5.2.2: Pattern analysis, 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.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.11: Time-varying imagery, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Dostupnost: https://inria.hal.science/inria-00408293
https://inria.hal.science/inria-00408293v1/document
https://inria.hal.science/inria-00408293v1/file/RR-6952.pdf

Landscape features that prevent or foster urban sprawl

Autoři: Guyet, Thomas AGROCAMPUS OUEST Diagnosing, Recommending Actions and Modelling (DREAM) a další

Přispěvatelé: Guyet, Thomas AGROCAMPUS OUEST Diagnosing, Recommending Actions and Modelling (DREAM) a další

Zdroj: MultiTemp 2015 : 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images ; https://inria.hal.science/hal-01178944 ; MultiTemp 2015 : 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Jul 2015, Annecy, France. pp.244-247 ; http://www.multitemp2015.org/

Témata: principal component analysis, statistical analysis, Remote sensing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.3: Statistical, [INFO]Computer Science [cs]

Geografické téma: Annecy, France

Dostupnost: https://inria.hal.science/hal-01178944

Probabilistic Relational Models with Clustering Uncertainty

Autoři: Coutant, Anthony Philippe, Leray Le Capitaine, Hoel a další

Přispěvatelé: Coutant, Anthony Philippe, Leray Le Capitaine, Hoel a další

Zdroj: IEEE International Joint Conference on Neural Networks (IJCNN 2015) ; https://hal.science/hal-01183563 ; IEEE International Joint Conference on Neural Networks (IJCNN 2015), Jul 2015, Killarney, Ireland

Témata: Probabilistic Relational Models, Structure Learning, Clustering, Reference Uncertainty, 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.5.3: Clustering, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Geografické téma: Killarney, Ireland

Dostupnost: https://hal.science/hal-01183563