LEADER 05367nam 22007455 450 001 996546853003316 005 20230814183326.0 010 $a3-031-41498-5 024 7 $a10.1007/978-3-031-41498-5 035 $a(MiAaPQ)EBC30697467 035 $a(Au-PeEL)EBL30697467 035 $a(DE-He213)978-3-031-41498-5 035 $a(PPN)272260215 035 $a(EXLCZ)9927982367200041 100 $a20230814d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDocument Analysis and Recognition ? ICDAR 2023 Workshops$b[electronic resource] $eSan José, CA, USA, August 24?26, 2023, Proceedings, Part I /$fedited by Mickael Coustaty, Alicia Fornés 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (344 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14193 311 08$aPrint version: Coustaty, Mickael Document Analysis and Recognition - ICDAR 2023 Workshops Cham : Springer,c2023 9783031414978 327 $aBeyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting -- Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs -- The Adaptability of a Transformer-based OCR Model for Historical Documents -- Using GANs for Domain Adaptive High Resolution Synthetic Document Generation -- A Survey and Approach to Chart Classification -- Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images -- Optical Music Recognition: Recent Advances, Current Challenges, and Future Directions -- Reconstruction of Power Lines from Point Clouds -- KangaiSet : A Dataset for Visual Emotion Recognition on Manga -- MuraNet: Multi-task Floor Plan Recognition with Relation Attention -- Automatic Detection of Comic Characters: An Analysis of Model Robustness Across Domains -- FPNet: Deep Attention Network for Automated Floor Plan Analysis -- Detection of buried complex text. Case of Onomatopoeia in comics books -- Text Extraction for Handwritten Circuit Diagram Images -- Can Pre-trained Language Models help in Understanding Handwritten Symbols? -- On Text Localization in End-to-End OCR-Free Document Understanding Transformer without Text Localization Supervision -- IndicSTR12: A Dataset for Indic Scene Text Recognition -- Reconstruction of Broken Writing Strokes in Greek Papyri -- Collaborative Annotation and Computational Analysis of Hieratic -- Efficient Annotation of Medieval Charters -- Greek Literary Papyri Dating Benchmark -- Stylistic Similarities in Greek Papyri based on Letter Shapes: A Deep Learning approach. 330 $aThis two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21?26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML). . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14193 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aMachine learning 606 $aDatabase management 606 $aNatural language processing (Computer science) 606 $aSocial sciences$xData processing 606 $aInformation storage and retrieval systems 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 606 $aDatabase Management 606 $aNatural Language Processing (NLP) 606 $aComputer Application in Social and Behavioral Sciences 606 $aInformation Storage and Retrieval 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aDatabase management. 615 0$aNatural language processing (Computer science). 615 0$aSocial sciences$xData processing. 615 0$aInformation storage and retrieval systems. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 615 24$aDatabase Management. 615 24$aNatural Language Processing (NLP). 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aInformation Storage and Retrieval. 676 $a006 700 $aCoustaty$b Mickael$01423744 701 $aFornés$b Alicia$01423745 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546853003316 996 $aDocument Analysis and Recognition - ICDAR 2023 Workshops$93552103 997 $aUNISA LEADER 05069nam 22007335 450 001 9910484142003321 005 20251113175956.0 010 $a3-030-34978-0 024 7 $a10.1007/978-3-030-34978-3 035 $a(CKB)5310000000016668 035 $a(MiAaPQ)EBC6232206 035 $a(DE-He213)978-3-030-34978-3 035 $a(PPN)248597469 035 $a(MiAaPQ)EBC6231830 035 $a(EXLCZ)995310000000016668 100 $a20200619d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeometric Algebra Applications Vol. II $eRobot Modelling and Control /$fby Eduardo Bayro-Corrochano 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (xxix, 600 pages) $cillustrations 311 08$a3-030-34976-4 327 $aGeometric Algebra for Modeling in Robotic Physics -- Introduction to Geometric Algebra -- Lie Algebras, Lie Groups and Algebra of Incidence -- 2D, 3D and 4D Geometric Algebras -- Kinematics of the 2D and 3D Spaces -- Conformal Geometric Algebra -- Programming Issues -- Rigid Motion Interpolation -- Robot Kinematics -- Robot Dynamics -- Control of Robot Manipulators -- Robot Neurocontrol -- Robot Control and Tracking -- Rigid Motion Estimation Using Line Observations -- Tracker Endoscope Calibration and Body-Sensors Calibration -- Tracking, Grasping and Object Manipulation -- 3D Maps, Navigation and Relocalization -- Quadrotor -- Modeling and Registration of Medical Data -- Geometric Computing for Minimal Invasive Surgery. 330 $aThe goal of Geometric Algebra Applications Vol. II: Robot Modeling and Control is to present a unified mathematical treatment of diverse problems in the general domain of robotics and associated fields using Clifford, or geometric algebra. By treating a wide spectrum of problems in a common language, this Volume II offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with robotics. Topics and features -Introduces a no specialists to Clifford, or geometric, algebra and by examples encourages the reader to learn to compute using geometric entities and geometric formulations. -A study in depth for applications of Lie group theory, Lie algebra, spinors and versors and the algebra of incidence using the universal geometric algebra generated by reciprocal null cones. -Includes a thorough study of kinematics, differential kinematics and dynamics using geometric algebra. TheEuler Lagrange and Hamiltonians equations for dynamics are developed using conformal geometric algebra and the recursive Newton-Euler using screw theory in the motor algebra framework. A thorough study of robot modeling and nonlinear controllers. -Thorough discussion of several applications in computer vision, graphics, neurocomputing, quantum computing, robotics and control engineering using the geometric algebra framework. -209 exercises and hints for the development of future computer software packages for extensive calculations in geometric algebra. A entire section is dedicated to explain how one should write the subroutines in C++, Matlab and Maple to carry out efficient geometric computations in the geometric algebra framework. Furthermore it is shown how program code can be optimized for real time computations. -The book is an essential resource for applied physicists, computer scientists, AI researchers, roboticists and mechanical and electrical engineers, it clarifies and demonstrates the importance of geometric computing for building autonomous systems and push forward advances in cognitive systems research. 606 $aAlgebraic geometry 606 $aComputational intelligence 606 $aControl engineering 606 $aRobotics 606 $aAutomation 606 $aArtificial intelligence 606 $aDynamics 606 $aNonlinear theories 606 $aAlgebraic Geometry 606 $aComputational Intelligence 606 $aControl, Robotics, Automation 606 $aArtificial Intelligence 606 $aApplied Dynamical Systems 615 0$aAlgebraic geometry. 615 0$aComputational intelligence. 615 0$aControl engineering. 615 0$aRobotics. 615 0$aAutomation. 615 0$aArtificial intelligence. 615 0$aDynamics. 615 0$aNonlinear theories. 615 14$aAlgebraic Geometry. 615 24$aComputational Intelligence. 615 24$aControl, Robotics, Automation. 615 24$aArtificial Intelligence. 615 24$aApplied Dynamical Systems. 676 $a516.35 676 $a516.35 700 $aBayro Corrochano$b Eduardo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0863860 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484142003321 996 $aGeometric Algebra Applications Vol. II$91928380 997 $aUNINA