Springer Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications

Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications

Springer

Elliptically Symmetric Distributions in Signal Processing and Machine Learning

Springer

General Audio Signal Processing with Deep Learning

Deep Learning and Signal-Processing Methods for Multisensor Data Fusion: Applications to Ambulatory Health Monitoring

Springer

Machine Learning Algorithms: Adversarial Robustness in Signal Processing (Wireless Networks)

Springer

Signal Processing: An Applied Decomposition Approach

Wiley-IEEE Press

Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Springer

Bayesian Real-Time System Identification: From Centralized to Distributed Approach

Springer

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

Springer Coherence: In Signal Processing and Machine Learning

Springer

Digital Processing and Reconstruction of Complex Signals

Springer

Topic Modeling: Advanced Techniques and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Introduction to Tensor Network Methods: From Many-Body Quantum Systems to Machine Learning (Graduate Texts in Physics)

Springer

Alternating Direction Method of Multipliers for Machine Learning

Springer

Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)

Deep Learning Approaches for Spoken and Natural Language Processing (Signals and Communication Technology)

Springer

Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology

Springer

Multi-faceted Deep Learning: Models and Data

Springer

Fundamentals of Linear Algebra for Signal Processing

Springer

Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications

Springer

Data Driven Model Learning for Engineers: With Applications to Univariate Time Series

Springer

Handbook of Trustworthy Federated Learning (Springer Optimization and Its Applications)

Graph Neural Network for Hyperspectral Image Clustering (Intelligent Perception and Information Processing)

Springer

Generalized Matrix Inversion: A Machine Learning Approach