Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality

2024-1-1

Energy-Based Models with Applications to Speech and Language Processing

2024-1-1

Model-Based Deep Learning

2023-1-1

Learning with Limited Samples: Meta-Learning and Applications to Communication Systems

2023-1-1

Signal Decomposition Using Masked Proximal Operators

2023-1-1

Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures

2023-1-1

Bilevel Methods for Image Reconstruction

2022-1-1

Wireless for Machine Learning: A Survey

2022-1-1

Online Component Analysis, Architectures and Applications

2022-1-1

An Introduction to Quantum Machine Learning for Engineers

2022-1-1

Operating Characteristics for Classical and Quantum Binary Hypothesis Testing

2021-1-1

Foundations of User-Centric Cell-Free Massive MIMO

2021-1-1

Data-Driven Multi-Microphone Speaker Localization on Manifolds

2020-1-1

Recent Advances in Clock Synchronization for Packet-Switched Networks

2020-1-1

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

2019-1-1

Compressed Sensing with Applications in Wireless Networks

2019-1-1

A Survey on the Low-Dimensional-Model-based Electromagnetic Imaging

2018-1-1

Synchronization and Localization in Wireless Networks

2018-1-1

A Brief Introduction to Machine Learning for Engineers

2018-1-1

Using Inertial Sensors for Position and Orientation Estimation

2017-1-1

Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency

2017-1-1

Computational Visual Attention Models

2017-1-1

Sparse Sensing for Statistical Inference

2016-1-1

Deep Learning in Object Recognition, Detection, and Segmentation

2016-1-1

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

2016-1-1

A Signal Processing Perspective of Financial Engineering

2016-1-1

Structured Robust Covariance Estimation

2015-1-1

A Primer on Reproducing Kernel Hilbert Spaces

2015-1-1

Deep Learning: Methods and Applications

2014-1-1

Interactive Sensing and Decision Making in Social Networks

2014-1-1

The Interplay Between Information and Estimation Measures

2013-1-1

Pattern Matching in Compressed Texts and Images

2013-1-1

Bivariate Markov Processes and Their Estimation

2012-1-1

Minimum Probability of Error Image Retrieval: From Visual Features to Image Semantics

2012-1-1

Multidimensional Filter Banks and Multiscale Geometric Representations

2011-1-1

Markov Random Fields in Image Segmentation

2011-1-1

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

2010-1-1

A Survey of Linear Predictive Coding: Part I of Linear Predictive Coding and the Internet Protocol

2010-1-1

Block-Based Compressed Sensing of Images and Video

2010-1-1

Theory and Use of the EM Algorithm

2010-1-1

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

2009-1-1

A History of Realtime Digital Speech on Packet Networks: Part II of Linear Predictive Coding and the Internet Protocol

2009-1-1

Multiple Reference Motion Compensation: A Tutorial Introduction and Survey

2009-1-1

Introduction to Digital Speech Processing

2007-1-1

An Introduction to Frames

2007-1-1

The Application of Hidden Markov Models in Speech Recognition

2007-1-1

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

2007-1-1

Rethinking Biased Estimation: Improving Maximum Likelihood and the Cramér–Rao Bound

2007-1-1

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

2007-1-1