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Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (377 pages)
Disciplina 006.31
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Computer science - Mathematics
Probabilities
Machine learning
Information visualization
Mathematical Applications in Computer Science
Probability Theory
Machine Learning
Data and Information Visualization
ISBN 3-031-51163-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Mood-Based Music Recommendation System (Sravanthi) -- Internet Employment Detection Scam Via Fake Jobs With Random Forest Classifier (Madhavi) -- Sentiment Analysis and Age Factor Influences on Brand usage of Personal Care Products: A Study with Reference to Visakhapatnam City, in India (Tuduku) -- Construction of Pythagorean and Reciprocal Pythagorean n-tuples (Srinivas) -- Statistical Approaches for Forecasting Air pollution: A review (Rao) -- Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems (R Neeraja) -- A Study on Benefits of Continuous Integration and Continuous Delivery in Software Engineering (Reddy) -- A Review on Mango Fruit Disease Detection and pesticide Suggestion (Reddy) -- Multikeyword Ranked Search With Privacy Protection Over Encrypted Cloud Data (Saranya) -- BERT based Similarity Measures Oriented Approach for Style Change Detection (Mohan) -- Computer Vision Based Malpractice Detection System (AnnanNaidu) -- The evolution of Influence maximization studies: A scientometric analysis (M Venunath) -- A Survey on Evolving Optimal Cryptographic Techniques in Cloud Computing Data Forensics (Pinnamaraju) -- DR-HIPI: Performance evaluation of retinal images for DR lesion segmentation using the HIPI architecture (Devi) -- Adaptability of Robotic Process Automation and Capabilities of Human Automation (Midde) -- A brief Review on Impact of Digital Trading on Conventional marketing Strategies after covid-19 effect on E-Commerce (Tuduku) -- Fall Support Assistant Application (Sivaramakrishnan) -- A Systematic VANET traffic congestion by eliminating recursion using Intervention Linear Minimum Spanning Tree (ILMST) for Traffic Management System (Sahu) -- Realtime Object Cloning in Augmented Reality using BASnet and Screenpoint Algorithms (Adimalla) -- Maximization Of Energy-Efficiency For Optimal Spectral Efficiency In Massive Mimo System (Borugadda) -- OptimizationOf Spectral Efficiency Using Precoding Techniques In Multi Cell Massive Mimo (Borugadda) -- The effect of prerequisite engineering processes on the production of risk factors in software development (Akula) -- Comparison of Channel Equalization Schemes for MIMO-OFDM (Sujatha) -- QoS Enhancement through Link-Quality Prediction using Signal-To-Noise Ratio in MANET (Viswanath) -- Credential Manager using Cloud Computing (Shaik) -- Accident Detection, Alert and Tracking System Based on IoT (Sivaramakrishnan) -- Real time storage in cloud and access control policies using blockchain (Pranitha) -- Artificial Intelligence and Internet of Things Applications in Smart Grid Security: A survey (Inala) -- An Optimized Mechanism to Improve the Performance of Proxy Mobile Ipv6 Using Augmented Open-Flow Technique (Indumathi) -- A Secure way to Message based on Internet Protocol on RSA algorithm using DNA encoding with Laplace Transform Computing (Nagalakshmi) -- An Integrated Information Security Risk Assessment (IISRA) Approach (Dixit) -- Congestion Control and Avoidance Scheme using Mobile Nodes in Wireless Sensor Network (Suma).-. ATOMATIC IOT AND MACHINE LEARNING BASED TOLL COLLECTION SYSTEM FOR MOVING VEHICLES (Sridhar) -- Hack Investigation and Probing using BEOS (Sridevi).
Record Nr. UNINA-9910857784003321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Active Lighting and Its Application for Computer Vision : 40 Years of History of Active Lighting Techniques / / by Katsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki
Active Lighting and Its Application for Computer Vision : 40 Years of History of Active Lighting Techniques / / by Katsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki
Autore Ikeuchi Katsushi
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 308 p. 251 illus., 167 illus. in color.)
Disciplina 006.37
Collana Advances in Computer Vision and Pattern Recognition
Soggetto topico Computer vision
Information visualization
Automatic control
Robotics
Automation
Machine learning
Computer Vision
Data and Information Visualization
Control, Robotics, Automation
Machine Learning
ISBN 9783030565770
3030565777
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910863166803321
Ikeuchi Katsushi  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.)
Disciplina 658.8342
Collana Behaviormetrics: Quantitative Approaches to Human Behavior
Soggetto topico Social sciences - Statistical methods
Statistics
Consumer behavior
Information visualization
Sociology - Methodology
Psychometrics
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistical Theory and Methods
Consumer Behavior
Data and Information Visualization
Sociological Methods
ISBN 981-15-2700-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. .
Record Nr. UNINA-9910484981703321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Studies in Classification and Data Science / / edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi
Advanced Studies in Classification and Data Science / / edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XI, 524 p. 121 illus., 64 illus. in color.)
Disciplina 519.5
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Statistics
Information visualization
Sociology - Methodology
Consumer behavior
Applied Statistics
Statistical Theory and Methods
Data and Information Visualization
Sociological Methods
Consumer Behavior
ISBN 9789811533112
9811533113
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment -- Chapter 2. Multi-citeria classifications in regional development modelling -- Chapter 3. Non-parametric latent modeling and network clustering -- Chapter 4. Efficient, Geometrically-adaptive Techniques for Multiscale Gaussian-kernel SVM Classification -- Chapter 5. Random forests followed by computed ABC analysis as a feature selection method for machine-learning in biomedical data -- Chapter 6. Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center -- Chapter 7. Supervised Nested Algorithm for Classification based on K-means -- Chapter 8. Using Classification of Regions Based on the Complexity of the Global Progress Indices for Supporting Development in Competitiveness -- Chapter 9. Estimation Methods Based on Weighting Clusters -- Chapter 10. Five Strategies for Accommodating Overdispersion in Simple Correspondence Analysis -- Chapter 11. From Joint Graphical Display to Bi-Modal Clustering: [2] Dual Space Versus Total Space -- Chapter 12. Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping -- Chapter 13. From Joint Graphical Display to Bi-Modal Clustering: [1] A Giant Leap in Quantication Theory -- Chapter 14. External Logistic Biplots for Mixed Types of Data -- Chapter 15. Functional clustering approach for analysis of concentration -- Chapter 16. Generalized additive models for the detection of copy number variations (CNVs) using multi gene panel sequencing data -- Chapter 17. Variable selection for classification of multivariate functional data -- Chapter 18. Initial value selection for the alternating least squares algorithm -- Chapter 19. Inference for General MANOVA Based on ANOVA-Type Statistic -- Chapter 20. How To Cross the River? - New ‘Distance’Measures -- Chapter 21. New Statistical Matching Method Using Multinomial Logistic Regression Model -- Chapter 22. Constructing graphical models for multi-source data: Sparse Network And Component analysis -- Chapter 23. Understanding Malvestuto’s normalized mutual information -- Chapter 24. Understanding the Rand index -- Chapter 25. Layered Multivariate Regression with Its Applications -- Chapter 26. An exploratory study on the clumpiness measure of intertransaction times: how is it useful for customer relationship management? -- Chapter 27. Data Quality Management of Chain Stores based on Outlier Detection -- Chapter 28. Analysis of expenditure pattens of virtual marriage households consisting of working couples synthesized by statistical matching method q -- Chapter 29. The Effects of Natural Disasters on Household Income and Poverty in Rural Vietnam: An Analysis Using the Vietnam Household Living Standards Survey -- Chapter 30. Generalizability of relationship between number of tweets about and sales of new beverage products -- Chapter 31. Cluster Distance-Based Regression -- Chapter 32. Bayesian network analysis of fashion behaviour -- Chapter 33. Determining the Similarity Index in Electoral Behavior Analysis: An Issue Voting Behavioral:Mapping -- Chapter 34. Well-Being Measures -- Chapter 35. The Relationship between Household Assets and Choice to Work: Evidence from Japanese Official Microdata -- Chapter 36. Visualization and Spatial Statistical Analysis for Vietnam Household Living Standard Survey -- Chapter 37. Changes in the Gendered Division of Labor and Women’s Economic Contributions within Japanese Couples -- Chapter 38. Employment structures vs. educational capital in the European Union regions -- Chapter 39. The IPUMS Approach to Harmonizing the World’s Population Census Data -- Chapter 40. A Supervised Multiclass Classifieras an Autocoding System for the Family Income and Expenditure Survey -- .
Record Nr. UNINA-9910484518303321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Autore Özarslan Evren
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (X, 280 p. 109 illus., 91 illus. in color.)
Disciplina 004
Collana Mathematics and Visualization
Soggetto topico Information visualization
Algebras, Linear
Mathematics - Data processing
Image processing - Digital techniques
Computer vision
Mathematical physics
Data and Information Visualization
Linear Algebra
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
ISBN 3-030-56215-8
Classificazione COM014000COM016000MAT002050MAT013000SCI040000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry.
Record Nr. UNINA-9910473459203321
Özarslan Evren  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Approaches for Science Illustration and Communication / / edited by Mark Roughley
Approaches for Science Illustration and Communication / / edited by Mark Roughley
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (261 pages)
Disciplina 929.605
Collana Biomedical Visualization
Soggetto topico Medicine - Research
Biology - Research
Anatomy
Information visualization
Biophysics
Biomedical Research
Data and Information Visualization
Bioanalysis and Bioimaging
ISBN 3-031-41652-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. The Importance of Integrating the Visual Arts into the Medical Curriculum -- Chapter 2. Using Medical Illustration to Improve Understanding of Endometriosis -- Chapter 3. Editorial Medical and Scientific Illustration -- Chapter 4. Current Approaches in Narrative Medical Visualization -- Chapter 5. Animation for Science Communication: A Description of the Production Process and Contexts for Using Science Animation -- Chapter 6. Effect of the Rings: A Visual Story Design Comparing Three Chemical Characters -- Chapter 7. Diabetes Year One, Random Fluctuations and Mental Goblins: Auto-Ethnographic Pathographies and Medical Comics -- Chapter 8. Playing with Science: Games as a Medium of Science Communication -- Chapter 9. Increasing Microbiology Literacy about the Public Health Threat of Antimicrobial Resistance Through Art-Science Interactions -- Chapter 10. Collaged Creatures: Using Collage Art Practice and Posthuman Ethics to Discuss Bioengineering Hybrids.
Record Nr. UNINA-9910767553003321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Biomedical Visualisation : Volume 13 – The Art, Philosophy and Science of Observation and Imaging / / edited by Leonard Shapiro, Paul M. Rea
Biomedical Visualisation : Volume 13 – The Art, Philosophy and Science of Observation and Imaging / / edited by Leonard Shapiro, Paul M. Rea
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (195 pages)
Disciplina 170
616.0754
Collana Advances in Experimental Medicine and Biology
Soggetto topico Anatomy
Medical education
Medicine - Research
Biology - Research
Information visualization
Biophysics
Education - Data processing
Medical Education
Biomedical Research
Data and Information Visualization
Bioanalysis and Bioimaging
Computers and Education
ISBN 9783031130212
3031130219
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. The History and Philosophy of Medical Imaging -- Chapter 1. Re:Viewing Observation. The Philosophy of Medical Imaging -- Part II. Innovation in Imaging Technologies -- Chapter 2. Emerging Imaging Techniques in Anatomy: For Teaching, Research and Clinical Practice -- Chapter 3. Mapping of Orthopaedic Fractures for Optimal Surgical Guidance -- Chapter 4. Visualising the Dural Venous Sinuses Using Volume Tracing, a Novel Approach -- Chapter 5. Placental Morphology and Morphometry: Is It a Prerequisite for Future Pathological Investigations? -- Part III. Art-Based Practice and Body Science -- Chapter 6. Drawing: A Dialogue across Disciplines -- Chapter 7. Visualizing the Human Body Using an Artistic Approach -- Chapter 8. Construction of Facial Composites from Eyewitness Memory.
Record Nr. UNINA-9910633914103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Biomedical Visualisation : Volume 12 ‒ The Importance of Context in Image-Making / / edited by Leonard Shapiro, Paul M. Rea
Biomedical Visualisation : Volume 12 ‒ The Importance of Context in Image-Making / / edited by Leonard Shapiro, Paul M. Rea
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (195 pages)
Disciplina 170
Collana Advances in Experimental Medicine and Biology
Soggetto topico Anatomy
Medical education
Medicine - Research
Biology - Research
Education - Data processing
Information visualization
Medical Education
Biomedical Research
Computers and Education
Data and Information Visualization
ISBN 3-031-10889-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. Exciting Data and Representation -- Chapter 1. A Multimodal Social Semiotics Perspective on Teaching and Learning Using Biomedical Visualisations -- Chapter 2. Reasons for Knocking at an Empty House: Visualisation, Representation and Dissemination of Health-Related Public Engagement Media -- Chapter 3. The Evolution of Scientific Visualisations: A Case Study Approach to Big Data for Varied Audiences -- Part II. Biomedical Education: Theory and Practice -- Chapter 4. The Affordances of Visual Modes in Pedagogy on the Physics of Motion in Physiotherapy Education -- Part III. Making 3D -- Chapter 5. Mitochondria to Bitter Melon: Understanding the 3D Ultrastructure of the Cell via 2D Thin Section Reconstruction and the History of Mitochondrial Visualization -- Chapter 6. Using Molecular Visualisation Techniques to Explain the Molecular Biology of SARS-CoV-2 Spike Protein Mutations to a General Audience -- Chapter 7. Student-Perceived Value on the Use of Clay Modelling in Undergraduate Clinical Anatomy -- Part IV. Ethical Considerations -- Chapter 8. Advances in Digital Technology in Teaching Human Anatomy: Ethical Predicaments.
Record Nr. UNINA-9910595026303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Diffusion MRI and Brain Connectivity : MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 / / edited by Thomas Schultz, Gemma Nedjati-Gilani, Archana Venkataraman, Lauren O'Donnell, Eleftheria Panagiotaki
Computational Diffusion MRI and Brain Connectivity : MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 / / edited by Thomas Schultz, Gemma Nedjati-Gilani, Archana Venkataraman, Lauren O'Donnell, Eleftheria Panagiotaki
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (255 p.)
Disciplina 006.42
612.8/2
Collana Mathematics and Visualization
Soggetto topico Mathematics - Data processing
Computer vision
Information visualization
Pattern recognition systems
Mathematical physics
Biometry
Computational Science and Engineering
Computer Vision
Data and Information Visualization
Automated Pattern Recognition
Theoretical, Mathematical and Computational Physics
Biostatistics
ISBN 3-319-02475-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Acquisition of Diffusion MRI: Comparing Simultaneous Multi-slice Diffusion Acquisitions by Y.Rathi et al -- Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI by B.Wilkins et al -- Model-based super-resolution of diffusion MRI by A.Tobisch et al -- A quantitative evaluation of errors induced by reduced field-of-view in diffusion tensor imaging by J.Hering et al -- Part II Diffusion MRI Modeling: The Diffusion Dictionary in the Human Brain is Short: Rotation Invariant Learning of Basis Functions by M.Reisert et al -- Diffusion Propagator Estimation Using Radial Basis Functions by Y.Rathi et al -- A Framework for ODF Inference by using Fiber Tract Adaptive MPG Selection by H.Hontani et al -- Non-Negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation by J.Cheng et al -- Part III Tractography: A Novel Riemannian Metric for Geodesic Tractography in DTI by A.Fuster et al -- Fiberfox: An extensible system for generating realistic white matter software phantoms by P.F.Neher et al -- Choosing a Tractography Algorithm: On the Effects of Measurement Noise by A.Reichenbach et al -- Uncertainty in Tractography via Tract Confidence Regions by C.J.Brown et al -- Estimating Uncertainty in White Matter Tractography Using Wild Non-Local Bootstrap by P -- T. Yap et al -- Part IV Group Studies and Statistical Analysis: Groupwise Deformable Registration of Fiber Track Sets using Track Orientation Distributions by D. Christiaens et al -- Groupwise registration for correcting subject motion and eddy current distortions in diffusion MRI using a PCA based dissimilarity metric by W. Huizinga et al -- Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis by G. Zimmerman-Moreno et al -- Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children by E.Vallée et al -- PartV Brain Connectivity: Disrupted Brain Connectivity in Alzheimer’s Disease: Effects of Network Thresholding: M. Daianu et al -- Rich Club Analysis of Structural Brain Connectivity at 7 Tesla versus 3 Tesla: E. Dennis et al -- Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data: D. Scheinost et al -- Power Estimates for Voxel-Based Genetic Association Studies using Diffusion Imaging: N. Jahanshad et al -- Global changes in the connectome in autism spectrum diseases: C. Jonas Goch et al.
Record Nr. UNINA-9910300146903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computer Vision [[electronic resource] ] : Statistical Models for Marr's Paradigm / / by Song-Chun Zhu, Ying Nian Wu
Computer Vision [[electronic resource] ] : Statistical Models for Marr's Paradigm / / by Song-Chun Zhu, Ying Nian Wu
Autore Zhu Song-Chun
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XIV, 357 p. 192 illus., 109 illus. in color.)
Disciplina 006
Soggetto topico Image processing—Digital techniques
Computer vision
Information visualization
Computer science
Computer science—Mathematics
Mathematical statistics
Neural networks (Computer science)
Computer Imaging, Vision, Pattern Recognition and Graphics
Data and Information Visualization
Theory of Computation
Probability and Statistics in Computer Science
Computer Science
Mathematical Models of Cognitive Processes and Neural Networks
ISBN 3-030-96530-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- About the Authors -- 1 Introduction -- 2 Statistics of Natural Images -- 3 Textures -- 4 Textons -- 5 Gestalt Laws and Perceptual Organizations -- 6 Primal Sketch: Integrating Textures and Textons -- 7 2.1D Sketch and Layered Representation -- 8 2.5D Sketch and Depth Maps -- 9 Learning about information Projection -- 10 Informing Scaling and Regimes of Models -- 11 Deep Images and Models -- 12 A Tale of Three Families: Discriminative, Generative and Descriptive Models -- Bibliography.
Record Nr. UNISA-996547970603316
Zhu Song-Chun  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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