Rachel Fogg

Name:	Rachel Fogg
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Mon Nov 20 11:47:52 +0000 2023

Public lists managed by Rachel Fogg

• Information Engineering Distinguished Lecture Series
• Information Engineering Division seminar list

Talks given by Rachel Fogg

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

Talks organised by Rachel Fogg

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Rachel Fogg actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Sound Control Synthesis with Logics and Data
• Exploiting Structure for Scalable Design and Verification of Complex Systems
• Cybergenetics: Theory and Implementation of genetic control systems
• Distributed Control, Estimation and Optimization in Multi-agent Systems
• Physically Intelligent Robots at the Milli/Microscale
• From rats to robot navigation and beyond
• Learning visual representations
• Computational Neuroscience for Technology: Event-based Vision Sensors and Information Processing
• Spectral Edge Image Fusion: Theory and Applications
• Gradient methods for huge-scale optimization problems
• Analyzing and Abstracting Scans of Man-made Environments
• Digitisation of modern and traditional dances using motion capture technology
• Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications
• Innovation in Cambridge Engineering – how to foster it?
• Audio/Video R&D at Google
• Introduction to the physics and modelling of electro- and magnetoencephalography
• Engineering and Control of Biological circuits: from yeast to mammalian cells
• Probabilistic Amplitude and Frequency Demodulation
• Stroke Rehabilitation using Electrical Stimulation & Robotics: Open problems in control, identification, sensing and motor learning
• Stroke Rehabilitation using Electrical Stimulation & Robotics: Open problems in control, identification, sensing and motor learning
• Decentralized Optimal Control and Connections to the Human Motor System
• Modelling Network Data
• On the Equivalence of TCM Encoders
• Combinatorial Channel Signature Modulation for Wireless ad-hoc Networks
• Monte Carlo Inference for Alpha-Stable Processes
• Optimal proposal densities for particle filters
• Optimal proposal densities for particle filters
• Rao-Blackwellized Particle Smoothing for Conditionally Linear Gaussian Models (NOTICE CHANGED TIME!)
• Compressible distributions and Compressed Sensing
• The SUDOKU Coding Project
• The SUDOKU Coding Project
• Recursive parameter estimation procedures
• Monocular 3D Pose Estimation
• Monocular 3D Pose Estimation
• Data sketching for cardinality and entropy estimation
• Local Sequential Monte Carlo Methods
• Second- versus fourth-order dynamics in imaging
• Applications of Image Registration
• Applications of Image Registration
• Topics on joint source-channel coding and multiuser detection
• Hard decisions do not cause a 2dB power loss
• How Much Energy Is Required to Send One Bit Reliably over the Poisson Channel with Feedback?
• Sigma-Points, Cubatures and Rao-Blackwellization in Recursive Bayesian Estimation
• Coding problems involving values and their positions
• Title to be confirmed
• Title to be confirmed
• Extremes of Random Coding Error Exponents
• Physical Layer Network coding for Next Generation Wireless Broadband Networks
• Flexible Small Cell Green Networks: Breaking the Spectral Efficiency Barrier
• Sequential Monte Carlo methods for estimating large scale volatility matrices - CANCELLED (to be rearranged in Lent term)
• Bayesian Alignment of Unlabelled Marked Point Sets Using Random Fields
• Online temporally adaptive parameter estimation with applications to streaming data analysis.
• Joint Algorithm/Architecture Design of Communication Systems
• Improving ARMA-GARCH Forecasting
• Adaptive Monte Carlo on multivariate binary sampling spaces
• Adaptive Networks and Bio-Inspired Cognition
• Sensor Networks for the Sake of Security - NOW FRIDAY 23rd JULY
• Functional methods for the design of shiftable and steerable wavelet transforms
• CANCELLED
• Title to be confirmed
• Adaptive Sensing and Information
• Exploring ODE model uncertainty via diffusions, with application to physiological processes
• Local scoring rules
• Bayesian inference for exponential random graphs - POSTPONED DUE TO TRAVEL DIFFICULTIES
• Regional Climate Change Impact Assessments, Knowledge Action Networks, and the Cambridge/UCSD Global Water Initiative
• Itakura-Saito nonnegative factorizations of the power spectrogram for music signal decomposition
• Estimation of Noisy Diffusions
• Adaptive MCMC and Bayesian time-frequency analysis
• Bayesian inference for exponential random graphs
• Marginal and joint space representations within ABC, and the issue of bias
• Lookahead in Sequential Monte Carlo
• Teaching control using lego
• Massively Parallel Advanced Monte Carlo Methods on Many-Core Processors
• Recent results on Bayesian image recovery
• Recent Theoretical Developments in Optimal Control
• An Adaptive Sequential Monte Carlo Algorithm For Bayesian Mixture Analysis
• Optimal scaling of the random walk Metropolis
• Rare Event Simulation for Processes with Light Tailed Increments
• Rare Event Simulation for Processes with Light Tailed Increments
• Testing for Local Stationarity in Acoustic Signals: Parametric and Nonparametric Approaches
• Bit-Interleaved Coded Modulation Systems with Quantized Soft-Out Demodulators
• Network Coding for the Multiple Access Channel
• Toward Sparse and Structured Projections for Compressed Sensing
• Sparse Approximation and Atomic Decomposition: Considering Atom Interactions in Evaluating and Building Signal Representations
• Routing and Network Coding on Lines, Stars, and Rings
• Factor Analysis with a Mixture of Gaussian Factors, with Application to Separation of the Cosmic Microwave Background
• Research Challenges in Cognitive Radio Networks
• Approximate Sparsity Recovery from Noisy Compressed Sensing
• Classification and Dimensionality Reduction using Convex Class Models
• Learning transformational invariants from natural movies
• Filter Design with Secrecy Constraints
• Visual Signal Processing Algorithms in Post Production
• Compressed sensing: some theory, algorithms and applications
• Markov Random Fields for Classification in High Dimensional Spaces with Application to fMRI Analysis
• Navigation and collision avoidance for aircraft and cars
• Model-based EM Source Separation and Localization in Reverberant Mixtures
• Model-based EM Source Separation and Localization in Reverberant Mixtures
• Markov Random Fields for Classification in High Dimensional Spaces with Application to fMRI Analysis
• Title to be confirmed
• Bayesians turn to experts for advice!
• Power allocation in delay-limited wireless channels
• From calcium imaging to spikes, using sequential Monte Carlo methods
• Performance and Implementation Aspects of Nonlinear Filtering
• Bayesian Inference for Diffusions using Data Augmentation MCMC