Ergebnisse für: Manifold Learning

Hier findest Du Bücher, die sich mit Manifold Learning beschäftigen.

Buch Cover Manifold Learning
Manifold Learning
David Ryckelynck, Fabien Casenave, Nissrine Akkari
Springer International Publishing
32.09 € · Hardcover
Computational Mechanics Data Augmentation Deep Learning Digital Twining Dimensionality Reduction GenericROM Library High-Fidelity Model Hyper-reduction Image-based Digital Twins Manifold Learning Model Order Reduction Mordicus Multiphysics Modeling Open Access
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understandi...
Buch Cover Elements of Dimensionality Reduction and Manifold Learning
Elements of Dimensionality Reduction and Manifold Learning
Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
Springer International Publishing
106.99 € · Hardcover
Data Reduction Data Visualization Dimensionality Reduction Feature Extraction Machine Learning Manifold Learning Pattern Analysis Representation Learning Subspace Learning Unsupervised Learning artificial neural networks deep learning data embedding data science statistical learning
Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and mani...
Buch Cover Manifold Learning
Manifold Learning
David Ryckelynck, Fabien Casenave, Nissrine Akkari
Springer International Publishing
32.09 € · Paperback
Computational Mechanics Data Augmentation Deep Learning Digital Twining Dimensionality Reduction GenericROM Library High-Fidelity Model Hyper-reduction Image-based Digital Twins Manifold Learning Model Order Reduction Mordicus Multiphysics Modeling Open Access
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understandi...
Buch Cover Elements of Dimensionality Reduction and Manifold Learning
Elements of Dimensionality Reduction and Manifold Learning
Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
Springer International Publishing
74.89 € · Paperback
Data Reduction Data Visualization Dimensionality Reduction Feature Extraction Machine Learning Manifold Learning Pattern Analysis Representation Learning Subspace Learning Unsupervised Learning artificial neural networks deep learning data embedding data science statistical learning
Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and mani...
Buch Cover Elements of Dimensionality Reduction and Manifold Learning
Elements of Dimensionality Reduction and Manifold Learning
Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
Springer International Publishing
74.89 € · eBook
Data Reduction Data Visualization Dimensionality Reduction Feature Extraction Machine Learning Manifold Learning Pattern Analysis Representation Learning Subspace Learning Unsupervised Learning artificial neural networks deep learning data embedding data science statistical learning
Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and mani...
Buch Cover Manifold Learning
Manifold Learning
David Ryckelynck, Fabien Casenave, Nissrine Akkari
Springer International Publishing
€ · eBook
Computational Mechanics Data Augmentation Deep Learning Digital Twining Dimensionality Reduction GenericROM Library High-Fidelity Model Hyper-reduction Image-based Digital Twins Manifold Learning Model Order Reduction Mordicus Multiphysics Modeling Open Access
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understandi...
Buch Cover Multi-aspect Learning
Multi-aspect Learning
Richi Nayak, Khanh Luong
Springer International Publishing
171.19 € · Hardcover
Multi-aspect Data Learning Multi-view Data Learning Non-negative Matrix Factorization Subspace Learning Spectral Clustering Manifold Learning K Nearest Neighbor
This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. T...
Buch Cover Computational Methods for Deep Learning
Computational Methods for Deep Learning
Wei Qi Yan
Springer International Publishing
64.19 € · Hardcover
Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from g...
Buch Cover Computational Methods for Deep Learning
Computational Methods for Deep Learning
Wei Qi Yan
Springer Singapore
96.29 € · Hardcover
Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra
The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this...
Buch Cover Kernel Learning Algorithms for Face Recognition
Kernel Learning Algorithms for Face Recognition
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
Springer US
149.79 € · Hardcover
Analysis Based Face Recognition Kernel Clustering Kernel Construction Kernel Manifold Learning Kernel Neural Network Kernel Optimization Kernel learning Pattern recognition face recognition feature extraction
Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involv...
Buch Cover Multi-aspect Learning
Multi-aspect Learning
Richi Nayak, Khanh Luong
Springer International Publishing
160.49 € · eBook
Multi-aspect Data Learning Multi-view Data Learning Non-negative Matrix Factorization Subspace Learning Spectral Clustering Manifold Learning K Nearest Neighbor
This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. T...
Buch Cover Multi-aspect Learning
Multi-aspect Learning
Richi Nayak, Khanh Luong
Springer International Publishing
171.19 € · Paperback
Multi-aspect Data Learning Multi-view Data Learning Non-negative Matrix Factorization Subspace Learning Spectral Clustering Manifold Learning K Nearest Neighbor
This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. T...
Buch Cover Computational Methods for Deep Learning
Computational Methods for Deep Learning
Wei Qi Yan
Springer International Publishing
64.19 € · eBook
Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from g...
Buch Cover Machine Learning in Medical Imaging
Machine Learning in Medical Imaging

Springer International Publishing
53.49 € · eBook
computer-aided diagnosis image processing machine learning neural networks supervised learning 3D ultrasound brain MRI classification deep learning dimensionality reduction ensemble learning factorization methods image segmentation kernel methods manifold learning
This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 38 full papers presented in this volume were carefully reviewed and selected from 60 sub...
Buch Cover Machine Learning in Medical Imaging
Machine Learning in Medical Imaging

Springer International Publishing
53.49 € · Paperback
computer-aided diagnosis image processing machine learning neural networks supervised learning 3D ultrasound brain MRI classification deep learning dimensionality reduction ensemble learning factorization methods image segmentation kernel methods manifold learning
This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 38 full papers presented in this volume were carefully reviewed and selected from 60 sub...
Buch Cover Computational Methods for Deep Learning
Computational Methods for Deep Learning
Wei Qi Yan
Springer International Publishing
64.19 € · Paperback
Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from g...
Buch Cover Machine Learning in Medical Imaging
Machine Learning in Medical Imaging

Springer International Publishing
53.49 € · eBook
brain network analysis cellular image analysis computer-aided diagnostics/detection deep learning health informatics image registration image retrieval image segmentation machine learning manifold learning medical imaging multi-modality fusion multi-task learning sparse learning transfer learning
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 20...
Buch Cover Machine Learning in Medical Imaging
Machine Learning in Medical Imaging

Springer International Publishing
53.49 € · Paperback
brain network analysis cellular image analysis computer-aided diagnostics/detection deep learning health informatics image registration image retrieval image segmentation machine learning manifold learning medical imaging multi-modality fusion multi-task learning sparse learning transfer learning
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 20...
Buch Cover Computational Methods for Deep Learning
Computational Methods for Deep Learning
Wei Qi Yan
Springer Singapore
96.29 € · eBook
Deep Learning Machine Learning Pattern Analysis Manifold Learning Machine Vision Reinforcement Learning Natural Language Processing Autoencoder Generative Adversarial Networks Transfer Learning Time-Series Analysis Calculus Linear Algebra Numerical Analysis Tensor Algebra
The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this...
Buch Cover Kernel Learning Algorithms for Face Recognition
Kernel Learning Algorithms for Face Recognition
Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
Springer US
117.69 € · Paperback
Analysis Based Face Recognition Kernel Clustering Kernel Construction Kernel Manifold Learning Kernel Neural Network Kernel Optimization Kernel learning Pattern recognition face recognition feature extraction
Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involv...
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