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Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
Autore Özarslan Evren
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (X, 280 p. 109 illus., 91 illus. in color.)
Disciplina 004
Collana Mathematics and Visualization
Soggetto topico Mathematics
Visualization
Matrix theory
Algebra
Computer mathematics
Optical data processing
Mathematical physics
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Soggetto non controllato Visualization
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Data and Information Visualization
Linear Algebra
tensor
tensor fields
higher-order harmonics
spherical harmonics
image processing
medical imaging
diffusion-weighted imaging (DWI)
structural mechanics
astrophysics
statistics
open access
Combinatorics & graph theory
Algebra
Maths for scientists
Computer vision
Mathematical physics
ISBN 3-030-56215-8
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. UNISA-996466563203316
Özarslan Evren  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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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 Springer Nature, 2021
Descrizione fisica 1 online resource (X, 280 p. 109 illus., 91 illus. in color.)
Disciplina 004
Collana Mathematics and Visualization
Soggetto topico Mathematics
Visualization
Matrix theory
Algebra
Computer mathematics
Optical data processing
Mathematical physics
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Soggetto non controllato Visualization
Linear and Multilinear Algebras, Matrix Theory
Computational Science and Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Theoretical, Mathematical and Computational Physics
Data and Information Visualization
Linear Algebra
tensor
tensor fields
higher-order harmonics
spherical harmonics
image processing
medical imaging
diffusion-weighted imaging (DWI)
structural mechanics
astrophysics
statistics
open access
Combinatorics & graph theory
Algebra
Maths for scientists
Computer vision
Mathematical physics
ISBN 3-030-56215-8
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  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors
Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xv, 201 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68Q65 - Abstract data types; algebraic specification [MSC 2020]
Soggetto non controllato Artificial Intelligence
Boolean algebra
Boolean functions
Coalgebra
Computer programming
Computer vision
Databases
Dynamical systems
Formal logic
Functors
Game Theory
Image processing
Mathematics
Matrix algebra
Semantical models
Semantics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248772
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors
Coalgebraic Methods in Computer Science : 15. IFIP WG 1.3 International Workshop, CMCS 2020, Colocated with ETAPS 2020, Dublin, Ireland, April 25–26, 2020, Proceedings / Daniela Petrişan, Jurriaan Rot editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xv, 201 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68-XX - Computer science [MSC 2020]
68Q65 - Abstract data types; algebraic specification [MSC 2020]
Soggetto non controllato Artificial Intelligence
Boolean algebra
Boolean functions
Coalgebra
Computer programming
Computer vision
Databases
Dynamical systems
Formal logic
Functors
Game Theory
Image processing
Mathematics
Matrix algebra
Semantical models
Semantics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00248772
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
Autore Cutler, Josh
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xv, 209 p. : ill. ; 24 cm
Altri autori (Persone) Dickenson, Matt
Soggetto topico 62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
Soggetto non controllato Application programming
Computer vision
Data Collection
Data structures
Databases
Natural Language Processing
Political analysis
Programming
Python
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248837
Cutler, Josh  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
Autore Cutler, Josh
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xv, 209 p. : ill. ; 24 cm
Altri autori (Persone) Dickenson, Matt
Soggetto topico 62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
Soggetto non controllato Application programming
Computer vision
Data Collection
Data structures
Databases
Natural Language Processing
Political analysis
Programming
Python
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00248837
Cutler, Josh  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings Part 1. / Yunmook Nah ... [et al.] editors
Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings Part 1. / Yunmook Nah ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xxxiv, 809 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68Pxx - Theory of data [MSC 2020]
Soggetto non controllato Artificial Intelligence
Computer Networks
Computer Science
Computer hardware
Computer systems
Computer vision
Data Mining
Databases
Education
Engineering
Information retrieval
Internet
Learning
Machine learning
Mathematics
Network protocols
Neural networks
Signal processing
Telecommunication networks
Telecommunication systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248966
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings Part 1. / Yunmook Nah ... [et al.] editors
Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings Part 1. / Yunmook Nah ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xxxiv, 809 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68-XX - Computer science [MSC 2020]
68Pxx - Theory of data [MSC 2020]
Soggetto non controllato Artificial Intelligence
Computer Networks
Computer Science
Computer hardware
Computer systems
Computer vision
Data Mining
Databases
Education
Engineering
Information retrieval
Internet
Learning
Machine learning
Mathematics
Network protocols
Neural networks
Signal processing
Telecommunication networks
Telecommunication systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00248966
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Digital image processing algorithms and applications / Ioannis Pitas
Digital image processing algorithms and applications / Ioannis Pitas
Autore Pitas, Ioannis
Pubbl/distr/stampa New York : Wiley, c2000
Descrizione fisica xi, 419 p. : ill. ; 24 cm
Disciplina 006.37
Soggetto non controllato Computer vision
Intelligenza artificiale
Immagini digitali
Elaborazione delle immagini - Algoritmi
ISBN 0-471-37739-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001490720403321
Pitas, Ioannis  
New York : Wiley, c2000
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Distributed control of robotic networks [[electronic resource] ] : a mathematical approach to motion coordination algorithms / / Francesco Bullo, Jorge Cortés, Sonia Martínez
Distributed control of robotic networks [[electronic resource] ] : a mathematical approach to motion coordination algorithms / / Francesco Bullo, Jorge Cortés, Sonia Martínez
Autore Bullo Francesco
Edizione [Course Book]
Pubbl/distr/stampa Princeton, NJ, : Princeton University Press, 2009
Descrizione fisica 1 online resource (333 p.)
Disciplina 629.8/9246
Altri autori (Persone) CortésJorge <1974->
MartínezSonia <1974->
Collana Princeton series in applied mathematics
Soggetto topico Robotics
Computer algorithms
Robots - Control systems
Soggetto non controllato 1-center problem
Adjacency matrix
Aggregate function
Algebraic connectivity
Algebraic topology (object)
Algorithm
Analysis of algorithms
Approximation algorithm
Asynchronous system
Bellman–Ford algorithm
Bifurcation theory
Bounded set (topological vector space)
Calculation
Cartesian product
Centroid
Chebyshev center
Circulant matrix
Circumscribed circle
Cluster analysis
Combinatorial optimization
Combinatorics
Communication complexity
Computation
Computational complexity theory
Computational geometry
Computational model
Computer simulation
Computer vision
Connected component (graph theory)
Connectivity (graph theory)
Consensus (computer science)
Control function (econometrics)
Differentiable function
Dijkstra's algorithm
Dimensional analysis
Directed acyclic graph
Directed graph
Discrete time and continuous time
Disk (mathematics)
Distributed algorithm
Doubly stochastic matrix
Dynamical system
Eigenvalues and eigenvectors
Estimation
Euclidean space
Function composition
Hybrid system
Information theory
Initial condition
Instance (computer science)
Invariance principle (linguistics)
Invertible matrix
Iteration
Iterative method
Kinematics
Laplacian matrix
Leader election
Linear dynamical system
Linear interpolation
Linear programming
Lipschitz continuity
Lyapunov function
Markov chain
Mathematical induction
Mathematical optimization
Mobile robot
Motion planning
Multi-agent system
Network model
Network topology
Norm (mathematics)
Numerical integration
Optimal control
Optimization problem
Parameter (computer programming)
Partition of a set
Percolation theory
Permutation matrix
Polytope
Proportionality (mathematics)
Quantifier (logic)
Quantization (signal processing)
Robustness (computer science)
Scientific notation
Sensor
Set (mathematics)
Simply connected space
Simulation
Simultaneous equations
State space
State variable
Stochastic matrix
Stochastic
Strongly connected component
Synchronous network
Theorem
Time complexity
Topology
Variable (mathematics)
Vector field
ISBN 1-68015-897-X
1-282-45820-5
1-282-93575-5
9786612458200
9786612935756
1-4008-3147-4
0-691-14195-9
Classificazione SK 880
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Chapter One. An introduction to distributed algorithms -- Chapter Two. Geometric models and optimization -- Chapter Three. Robotic network models and complexity notions -- Chapter Four. Connectivity maintenance and rendezvous -- Chapter Five. Deployment -- Chapter Six. Boundary estimation and tracking -- Bibliography -- Algorithm Index -- Subject Index -- Symbol Index
Record Nr. UNINA-9910781069103321
Bullo Francesco  
Princeton, NJ, : Princeton University Press, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
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