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Learning with limited samples : meta-learning and applications to communication systems

Signal decomposition using masked proximal operators

Online component analysis, architectures and applications

Model-Based Deep Learning

Massive MIMO Networks : Spectral, Energy, and Hardware Efficiency

Generalizing graph signal processing : high dimensional spaces, models and structures

An Introduction to Quantum Machine Learning for Engineers

Using Inertial Sensors for Position and Orientation Estimation

Deep learning : methods and applications

Deep Learning in Object Recognition, Detection, and Segmentation

Computational Visual Attention Models

Synchronization and Localization in Wireless Networks

Low-Dimensional-Model-based Electromagnetic Imaging : A Survey

Multiple reference motion compensation : a tutorial introduction and survey

Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition

Theory and Use of the EM Algorithm

Block-Based Compressed Sensing of Images and Video

The Interplay Between Information and Estimation Measures

Bilevel Methods for Image Reconstruction

Wireless for machine learning : a survey

Compressed Sensing with Applications in Wireless Networks

Recent Advances in Clock Synchronization for Packet-Switched Networks

Structured Robust Covariance Estimation

Set Partition Coding : Part I of Set Partition Coding and Image Wavelet Coding Systems

Image Wavelet Coding Systems : Part II of Set Partition Coding and Image Wavelet Coding Systems

Multidimensional filter banks and multiscale geometric representations

Markov random fields in image segmentation

Minimum probability of error image retrieval : from visual features to image semantics

Bivariate Markov Processes and Their Estimation

Source Coding : Part I of Fundamentals of Source and Video Coding

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