
Rachel Fogg
Name:  Rachel Fogg 
Affiliation:  University of Cambridge 
Email:  (only provided to users who are logged into talks.cam) 
Last login:  Fri Jun 23 12:19:07 +0000 2023 
Public lists managed by Rachel Fogg
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 email 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.
 Title to be confirmed
 Physically Intelligent Robots at the Milli/Microscale
 From rats to robot navigation and beyond
 Learning visual representations
 Computational Neuroscience for Technology: Eventbased Vision Sensors and Information Processing
 Spectral Edge Image Fusion: Theory and Applications
 Gradient methods for hugescale optimization problems
 Analyzing and Abstracting Scans of Manmade Environments
 Digitisation of modern and traditional dances using motion capture technology
 DualTree Complex Wavelets  their key properties and a range of imageprocessing 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 adhoc Networks
 Monte Carlo Inference for AlphaStable Processes
 Optimal proposal densities for particle filters
 Optimal proposal densities for particle filters
 RaoBlackwellized 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 fourthorder dynamics in imaging
 Applications of Image Registration
 Applications of Image Registration
 Topics on joint sourcechannel 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?
 SigmaPoints, Cubatures and RaoBlackwellization 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 ARMAGARCH Forecasting
 Adaptive Monte Carlo on multivariate binary sampling spaces
 Adaptive Networks and BioInspired 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
 ItakuraSaito nonnegative factorizations of the power spectrogram for music signal decomposition
 Estimation of Noisy Diffusions
 Adaptive MCMC and Bayesian timefrequency 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 ManyCore 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
 BitInterleaved Coded Modulation Systems with Quantized SoftOut 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
 Modelbased EM Source Separation and Localization in Reverberant Mixtures
 Modelbased 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 delaylimited 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
