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Record Nr. |
UNISA996546828903316 |
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Titolo |
Computer vision, imaging and computer graphics theory and applications : 16th international joint conference, VISIGRAPP 2021, virtual event, February 8-10, 2021, revised selected papers / / edited by A. Augusto de Sousa |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2023] |
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©2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (382 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1691 |
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Disciplina |
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Soggetti |
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Computer graphics |
Computer vision |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Computer Graphics Theory and Applications -- Impact of Avatar Representation in a Virtual Reality-based Multi-user Tunnel Fire Simulator for Training Purposes -- Facade Layout Completion with Long Short-term Memory Networks -- Human Computer Interaction Theory and Applications -- Generating Haptic Sensations over Spherical Surface -- Effects of Emotion-Induction Words on Memory and Pupillary Reactions while Viewing Visual Stimuli with Audio Guide -- A Bimanual Flick-based Japanese Software Keyboard using Direct Kanji Input -- Comparison of Cardiac Activity and Subjective Measures during Virtual Reality and Real Aircraft Flight -- Information Visualization Theory and Applications -- Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-labeling Strategies -- Visualization of Source Code Similarity using 2.5D Semantic Software Maps -- Revisiting Order-Preserving, Gap-Avoiding Rectangle Packing -- Exploratory Data Analysis of Population Level Smartphone-sensed Data -- Towards Interactive Geovisualization Authoring Toolkit for Industry Use Cases -- Computer Vision Theory and Applications -- Global-fiirst Training Strategy with Convolutional Neural Networks to Improve Scale Invariance -- Spline-based Dense |
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Medial Descriptors for Image Simplification using Saliency Maps -- BS-GAENets: Brain-spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis -- Enhancing Backlight and Spotlight Images by the Retinex-inspired Bilateral Filter SuPeR-B -- Rethinking RNN-based Video Object Segmentation. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, held as a virtual event, February 8–10, 2021. The 16 full papers presented in this volume were carefully reviewed and selected from 371 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP. The contributions were organized in topical sections as follows: Computer Graphics Theory and Applications; Human Computer Interaction Theory and Applications; Information Visualization Theory and Applications; Computer Vision Theory and Applications. |
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2. |
Record Nr. |
UNISA996691664603316 |
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Autore |
Nielsen Frank |
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Titolo |
Geometric Science of Information : 7th International Conference, GSI 2025, Saint-Malo, France, October 29–31, 2025, Proceedings, Part II / / edited by Frank Nielsen, Frédéric Barbaresco |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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3-032-03921-5 |
9783032039217 |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (862 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 16034 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computer science - Mathematics |
Artificial intelligence |
Computer engineering |
Computer networks |
Computer vision |
Mathematics of Computing |
Artificial Intelligence |
Computer Engineering and Networks |
Computer Vision |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information Geometry, and Machine Learning: FROM CLASSICAL TO QUANTUM INFORMATION GEOMETRY. The 124 full papers included in the proceedings were carefully reviewed and selected from 146 submissions. They were organized in topical sections as follows: Part I: Geometric Learning and Differential Invariants on Homogeneous Spaces; Statistical Manifolds and Hessian information geometry; Applied Geometry-Informed Machine Learning; |
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Geometric Green Learning on Groups and Quotient Spaces; Divergences in Statistics and Machine Learning; Part II: Geometric Statistics; Computational Information Geometry and Divergences; Geometric Methods in Thermodynamics; Classical & Quantum Information, Geometry and Topology; Geometric Mechanics; Stochastic Geometric Dynamics; Part III: New trends in Nonholonomic Systems; Learning of Dynamic Processes; Optimization and learning on manifolds; Neurogeometry; Lie Group in Learning Distributions & in Filters; A geometric approach to differential equations; Information Geometry, Delzant Toric Manifold & Integrable System. . |
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