3-D Computer Vision [[electronic resource] ] : Principles, Algorithms and Applications / / by Yu-Jin Zhang
| 3-D Computer Vision [[electronic resource] ] : Principles, Algorithms and Applications / / by Yu-Jin Zhang |
| Autore | Zhang Yu-Jin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (453 pages) |
| Disciplina | 006.37 |
| Soggetto topico |
Computer vision
Image processing—Digital techniques Image processing Computer science User interfaces (Computer systems) Human-computer interaction Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Theory and Algorithms for Application Domains Computer Science User Interfaces and Human Computer Interaction |
| ISBN | 981-19-7580-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Camera Calibration -- Chapter 3. 3-D Image Acquisition -- Chapter 4. Video and Motion Information -- Chapter 5. Moving Object Detection and Tracking -- Chapter 6. Binocular Stereo Vision -- Chapter 7. Monocular Multiple Image Reconstruction -- Chapter 8. Monocular Single Image Reconstruction -- Chapter 9. 3-D Scene Representation -- Chapter 10. Scene Matching -- Chapter 11. Knowledge and Scene Interpretation -- Chapter 12. Spatial-Temporal Behavior Understanding. |
| Record Nr. | UNISA-996546832403316 |
Zhang Yu-Jin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
3-D Computer Vision : Principles, Algorithms and Applications / / by Yu-Jin Zhang
| 3-D Computer Vision : Principles, Algorithms and Applications / / by Yu-Jin Zhang |
| Autore | Zhang Yu-Jin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (453 pages) |
| Disciplina | 006.37 |
| Soggetto topico |
Computer vision
Image processing - Digital techniques Image processing Computer science User interfaces (Computer systems) Human-computer interaction Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Theory and Algorithms for Application Domains Computer Science User Interfaces and Human Computer Interaction |
| ISBN | 981-19-7580-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Camera Calibration -- Chapter 3. 3-D Image Acquisition -- Chapter 4. Video and Motion Information -- Chapter 5. Moving Object Detection and Tracking -- Chapter 6. Binocular Stereo Vision -- Chapter 7. Monocular Multiple Image Reconstruction -- Chapter 8. Monocular Single Image Reconstruction -- Chapter 9. 3-D Scene Representation -- Chapter 10. Scene Matching -- Chapter 11. Knowledge and Scene Interpretation -- Chapter 12. Spatial-Temporal Behavior Understanding. |
| Record Nr. | UNINA-9910647782503321 |
Zhang Yu-Jin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Mathematical Science for Mobility Society / / edited by Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita
| Advanced Mathematical Science for Mobility Society / / edited by Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (VIII, 215 p. 52 illus., 40 illus. in color.) |
| Disciplina | 004.0151 |
| Soggetto topico |
Computer science
Mathematical models Quantitative research Transportation engineering Traffic engineering Theory and Algorithms for Application Domains Mathematical Modeling and Industrial Mathematics Data Analysis and Big Data Transportation Technology and Traffic Engineering |
| ISBN | 981-9997-72-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. Introduction, motivation, and direction for Advanced Mathematical Science for Mobility Society, together with the project between Toyota Motor Corporation and Kyoto University -- Chapter 1. Advanced Mathematical Science for Mobility Society -- Part 2. Mathematical models of flow Chapter. 2. Analysis of many-body particle systems by geometry and box-ball-system theory -- Chapter 3. Discrete Integrable Systems, LR transformations and Box-Ball Systems -- Part 3. Mathematical methods for huge data and network analysis -- Chapter 4. Eigenvalue Analysis in Mobility Data -- Chapter 5. Application of tensor network formalism for processing tensor data -- Chapter 6. Machine Learning Approach to Mobility Analysis -- Chapter 7. Graph optimization problems and algorithms for DAG-type blockchains -- Part 4. Algorithm for mobility society -- Chapter 8. Control and optimization of one-way car-sharing systems -- Chapter 9. Algorithms for future mobility society Chapter 10. Mechanism Design for Mobility. |
| Record Nr. | UNINA-9910845080703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Optimization and Applications : 12th International Conference, OPTIMA 2021, Petrovac, Montenegro, September 27 – October 1, 2021, Revised Selected Papers / / edited by Nicholas N. Olenev, Yuri G. Evtushenko, Milojica Jaćimović, Michael Khachay, Vlasta Malkova
| Advances in Optimization and Applications : 12th International Conference, OPTIMA 2021, Petrovac, Montenegro, September 27 – October 1, 2021, Revised Selected Papers / / edited by Nicholas N. Olenev, Yuri G. Evtushenko, Milojica Jaćimović, Michael Khachay, Vlasta Malkova |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (291 pages) |
| Disciplina | 004.0151 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer science - Mathematics
Artificial intelligence Data structures (Computer science) Information theory Computer science Computational complexity Computer networks Mathematical Applications in Computer Science Artificial Intelligence Data Structures and Information Theory Theory and Algorithms for Application Domains Computational Complexity Computer Communication Networks |
| ISBN | 3-030-92711-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mathematical Programming -- Global Optimization -- Stochastic Optimization -- Optimal Control -- Mathematical Economics -- Optimization in Data Analysis -- Applications. |
| Record Nr. | UNINA-9910512170903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Algorithmic Foundations for Social Advancement : Recent Progress on Theory and Practice / / edited by Shin-ichi Minato, Takeaki Uno, Norihito Yasuda, Takashi Horiyama, Ken-ichi Kawarabayashi, Shigeru Yamashita, Hirotaka Ono
| Algorithmic Foundations for Social Advancement : Recent Progress on Theory and Practice / / edited by Shin-ichi Minato, Takeaki Uno, Norihito Yasuda, Takashi Horiyama, Ken-ichi Kawarabayashi, Shigeru Yamashita, Hirotaka Ono |
| Autore | Minato Shin-ichi |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (541 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
UnoTakeaki
YasudaNorihito HoriyamaTakashi KawarabayashiKen-ichi YamashitaShigeru OnoHirotaka |
| Soggetto topico |
Computer science
Algorithms Theory and Algorithms for Application Domains |
| ISBN |
9789819606689
9819606683 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Overview of Algorithmic Foundations for Social Advancement (AFSA) Project -- Motivating Problems and Algorithmic Solutions -- ZDDs and Frontier-Based Search for Solving Combinatorial Problems -- Graphillion: Combinatorial Solver for Graph Problems -- Interdisciplinary Discussions for Future Computer Science -- Methodologies for Fruitful Interdisciplinary Discussions -- Catalog of Problems for Future Computer Science -- Continuous Interval Hamming Distance-based Measures -- Optimization Problem Formulations for Overcoming Difficulties in Real-world Projects -- Analysis of 20th French Philosophers Network -- Social Media Analysis based on Humanities Reading Technique: Developing a Method for Measuring Slanderous Narratives Online -- Reframing Problems: Analyzing the Design of Mixed Reality Tools Through the Lens of Fictionality -- Solving Rep-tile by Computers: Performance of Solvers and Analyses of Solutions -- Parallel Redundancy Removal in lrslib with Application to Projections -- Bridging Algorithmic Foundations with Information Security and Privacy: Set-k-Multicover Problem and Homomorphic Secret Sharing -- A Survey: SWAP Test and Its Applications to Quantum Complexity Theory -- Recent developments in quantum distributed algorithms -- On the simulation and verification of noisy quantum circuits -- Succinct Representations of Graphs -- A Satisfiability Algorithm for Depth Two Circuits with a Sub-Quadratic Number of Symmetric and Threshold Gates -- Soft margin boosting as Frank-Wolfe Algorithms -- Cost Graph Colorings -- Perpetual scheduling under frequency constraints. |
| Record Nr. | UNINA-9910985986903321 |
Minato Shin-ichi
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Algorithms as a Basis of Modern Applied Mathematics / / edited by Šárka Hošková-Mayerová, Cristina Flaut, Fabrizio Maturo
| Algorithms as a Basis of Modern Applied Mathematics / / edited by Šárka Hošková-Mayerová, Cristina Flaut, Fabrizio Maturo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIII, 509 p. 133 illus., 92 illus. in color.) |
| Disciplina | 005.1 |
| Collana | Studies in Fuzziness and Soft Computing |
| Soggetto topico |
Computational intelligence
Computer science Computational Intelligence Theory and Algorithms for Application Domains |
| ISBN | 3-030-61334-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Numerical Computation in Spiky Domain -- A Practical Review on Intrusion Detection Systems by Known Data Mining Methods -- The role of the communication and information in decision-making problems -- Counting the number of fuzzy subgroups of abelian group G= Z_{p^n}x Z_{p^m}. |
| Record Nr. | UNINA-9910484312003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Algorithms for Constructing Computably Enumerable Sets / / by Kenneth J. Supowit
| Algorithms for Constructing Computably Enumerable Sets / / by Kenneth J. Supowit |
| Autore | Supowit Kenneth J. |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023 |
| Descrizione fisica | 1 online resource (191 pages) |
| Disciplina | 004.0151 |
| Collana | Computer Science Foundations and Applied Logic |
| Soggetto topico |
Computer science
Computable functions Recursion theory Set theory Computer science—Mathematics Theory of Computation Computability and Recursion Theory Set Theory Theory and Algorithms for Application Domains Mathematics of Computing Matemàtica discreta Teoria de conjunts Algorismes |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031269042
9783031269035 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Index of notation and terms -- 2 Set theory, requirements, witnesses -- 3 What’s new in this chapter? -- 4 Priorities (a splitting theorem) -- 5 Reductions, comparability (Kleene-Post Theorem) -- 6 Finite injury (Friedberg-Muchnik Theorem) -- 7 The Permanence Lemma -- 8 Permitting (Friedberg-Muchnik below C Theorem) -- 9 Length of agreement (Sacks Splitting Theorem) -- 10 Introduction to infinite injury -- 11 A tree of guesses (Weak Thickness Lemma) -- 12 An infinitely branching tree (Thickness Lemma) -- 13 True stages (another proof of the Thickness Lemma) -- 14 Joint custody (Minimal Pair Theorem) -- 15 Witness lists (Density Theorem) -- 16 The theme of this book: delaying tactics -- Appendix A: a pairing function -- Bibliograph -- Solutions to selected exercises. |
| Record Nr. | UNINA-9910726280003321 |
Supowit Kenneth J.
|
||
| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Anomaly Detection in Video Surveillance / / by Xiaochun Wang
| Anomaly Detection in Video Surveillance / / by Xiaochun Wang |
| Autore | Wang Xiaochun <1954-> |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (396 pages) |
| Disciplina | 621.38928 |
| Collana | Cognitive Intelligence and Robotics |
| Soggetto topico |
Computer vision
Data mining Image processing - Digital techniques Machine learning Pattern recognition systems Computer science Computer Vision Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning Automated Pattern Recognition Theory and Algorithms for Application Domains Visió per ordinador Mineria de dades Aprenentatge automàtic Processament digital d'imatges Reconeixement de formes (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 9789819730230 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Introduction -- Chapter 2 Mathematical Preliminaries for Video Anomaly Detection Techniques -- Chapter 3 Probability Based Video Anomaly Detection Approaches -- Chapter 4 k-Nearest Neighbor Based Video Anomaly Detection Approaches -- Chapter 5 Gaussian Mixture Model Based Video Anomaly Detection. |
| Record Nr. | UNINA-9910878978103321 |
Wang Xiaochun <1954->
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied Antifragility in Natural Systems : From Principles to Applications / / by Cristian Axenie, Roman Bauer, Oliver López Corona, Jeffrey West
| Applied Antifragility in Natural Systems : From Principles to Applications / / by Cristian Axenie, Roman Bauer, Oliver López Corona, Jeffrey West |
| Autore | Axenie Cristian |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (131 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
BauerRoman
López CoronaOliver WestJeffrey |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Computer science
Algorithms Medical informatics Computer simulation Bioinformatics Application software Theory and Algorithms for Application Domains Design and Analysis of Algorithms Health Informatics Computer Modelling Computer and Information Systems Applications |
| ISBN | 3-031-90391-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Ecological Antifragility -- Evolutionary Antifragility -- Interventional Antifragility -- Conclusions. |
| Record Nr. | UNINA-9911015855003321 |
Axenie Cristian
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cluster Analysis and Applications / / by Rudolf Scitovski, Kristian Sabo, Francisco Martínez-Álvarez, Šime Ungar
| Cluster Analysis and Applications / / by Rudolf Scitovski, Kristian Sabo, Francisco Martínez-Álvarez, Šime Ungar |
| Autore | Scitovski Rudolf |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (277 pages) |
| Disciplina | 519.53 |
| Collana | Computer Science Series |
| Soggetto topico |
Artificial intelligence - Data processing
Computer science Pattern recognition systems Artificial intelligence Algorithms Machine learning Data Science Theory and Algorithms for Application Domains Automated Pattern Recognition Artificial Intelligence Design and Analysis of Algorithms Machine Learning |
| ISBN | 3-030-74552-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 -- Introduction. 2 Representatives -- 2.1 Representative of data sets with one feature. 2.1.1. Best LS-representative -- 2.1.2 Best `1-representative -- 2.1.3 Best representative of weighted data -- 2.1.4 Bregman divergences -- 2.2 Representative of data sets with two features -- 2.2.1 Fermat–Torricelli–Weber problem -- 2.2.2 Centroid of a set in the plane -- 2.2.3 Median of a set in the plane -- 2.2.4 Geometric median of a set in the plane -- 2.3 Representative of data sets with several features -- 2.3.1 Representative of weighted data -- 2.4 Representative of periodic data -- 2.4.1 Representative of data on the unit circle -- 2.4.2 Burn diagram -- 3 Data clustering -- 3.1 Optimal k-partition -- 3.1.1 Minimal distance principle and Voronoi diagram -- 3.1.2 k-means algorithm -- 3.2 Clustering data with one feature -- 3.2.1 Application of the LS-distance-like function -- 3.2.2 The dual problem -- 3.2.3 Least absolute deviation principle -- 3.2.4 Clustering weighted data -- 3.3 Clustering data with two or several features -- 3.3.1 Least squares principle -- 3.3.2 The dual problem -- 3.3.3 Least absolute deviation principle -- 3.4 Objective function F(c1, . . . , ck) = Pm i=1 min 1≤j≤k d(cj , ai) -- 4 Searching for an optimal partition -- 4.1 Solving the global optimization problem directly -- 4.2 k-means algorithm II -- 4.2.1 Objective function F using the membership matrix -- 4.2.2 Coordinate Descent Algorithms -- 4.2.3 Standard k-means algorithm -- 4.2.4 k-means algorithm with multiple activations -- 4.3 Incremental algorithm -- 4.4 Hierarchical algorithms -- 4.4.1 Introduction and motivation -- 4.4.2 Applying the Least Squares Principle. 4.5 DBSCAN method -- 4.5.1 Parameters MinPts and 97 4.5.2 DBSCAN algorithm -- 4.5.3 Numerical examples -- 5 Indexes -- 5.1 Choosing a partition with the most appropriate number of clusters -- 5.1.1 Calinski–Harabasz index -- 5.1.2 Davies–Bouldin index -- 5.1.3 Silhouette Width Criterion -- 5.1.4 Dunn index -- 5.2 Comparing two partitions -- 5.2.1 Rand index of two partitions -- 5.2.2 Application of the Hausdorff distance -- 6 Mahalanobis data clustering -- 6.1 Total least squares line in the plane. 6.2 Mahalanobis distance-like function in the plane -- 6.3 Mahalanobis distance induced by a set in the plane -- 6.3.1 Mahalanobis distance induced by a set of points in R n -- 6.4 Methods to search for optimal partition with ellipsoidal clusters -- 6.4.1 Mahalanobis k-means algorithm 139 CONTENTS v -- 6.4.2 Mahalanobis incremental algorithm -- 6.4.3 Expectation Maximization algorithm for Gaussian mixtures -- 6.4.4 Expectation Maximization algorithm for normalized Gaussian mixtures and Mahalanobis k-means algorithm -- 6.5 Choosing partition with the most appropriate number of ellipsoidal clusters -- 7 Fuzzy clustering problem -- 7.1 Determining membership functions and centers -- 7.1.1 Membership functions. 7.1.2 Centers -- 7.2 Searching for an optimal fuzzy partition with spherical clusters -- 7.2.1 Fuzzy c-means algorithm -- 7.2.2 Fuzzy incremental clustering algorithm (FInc) -- 7.2.3 Choosing the most appropriate number of clusters -- 7.3 Methods to search for an optimal fuzzy partition with ellipsoidal clusters -- 7.3.1 Gustafson–Kessel c-means algorithm -- 7.3.2 Mahalanobis fuzzy incremental algorithm (MFInc) -- 7.3.3 Choosing the most appropriate number of clusters -- 7.4 Fuzzy variant of the Rand index -- 7.4.1 Applications -- 8 Applications -- 8.1 Multiple geometric objects detection problem and applications -- 8.1.1 Multiple circles detection problem -- 8.1.2 Multiple ellipses detection problem -- 8.1.3 Multiple generalized circles detection problem -- 8.1.4 Multiple lines detection problem -- 8.1.5 Solving MGOD-problem by using the RANSAC method -- 8.2 Determining seismic zones in an area -- 8.2.1 Searching for seismic zones -- 8.2.2 The absolute time of an event -- 8.2.3 The analysis of earthquakes in one zone -- 8.2.4 The wider area of the Iberian Peninsula -- 8.2.5 The wider area of the Republic of Croatia -- 8.3 Temperature fluctuations -- 8.3.1 Identifying temperature seasons -- 8.4 Mathematics and politics: How to determine optimal constituencies? -- 8.4.1 Mathematical model and the algorithm -- 8.4.2 Defining constituencies in the Republic of Croatia -- 8.4.3 Optimizing the number of constituencies -- 8.5 Iris -- 8.6 Reproduction of Escherichia coli. 9 Modules and the data sets -- 9.1 Functions -- 9.2 Algorithms -- 9.3 Data generating -- 9.4 Test examples -- 9.5 Data sets -- Bibliography -- Index. |
| Record Nr. | UNINA-9910494563103321 |
Scitovski Rudolf
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||