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Tim Love (University of Cambridge).
Wednesday 29 October 2014, 15:00-16:00
LR5, Engineering, Department of
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0 upcoming talks View 67 archived talks
Engineering Department Computing Seminars
C++ course (4 of 4)
Engineering Department Computing Seminars
C++ course (2 of 4)
Probabilistic Systems, Information, and Inference Group Seminars
INDEPENDENT COMPONENT ANALYSIS VIA NONPARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION
Probabilistic Systems, Information, and Inference Group Seminars
Estimation with Incomplete State Information in the Smart Grid
Probabilistic Systems, Information, and Inference Group Seminars
Introduction to the physics and modelling of electro- and magnetoencephalography
Engineering Department Computing Seminars
Long-running programs
Engineering Department Computing Seminars
Writing WWW documents - advanced features
Engineering Department Computing Seminars
Java
Engineering Department Computing Seminars
C++, the Standard Library, and overloading
Probabilistic Systems, Information, and Inference Group Seminars
Monte Carlo Inference for Alpha-Stable Processes
Engineering Department Computing Seminars
C++ and the Standard Library
Engineering Department Computing Seminars
LaTeX for Report Writing
Engineering Department Computing Seminars
Faster Matlab scripts
Probabilistic Systems, Information, and Inference Group Seminars
Compressible distributions and Compressed Sensing
Engineering Department Computing Seminars
Writing shell scripts
Engineering Department Computing Seminars
Python
Engineering Department Computing Seminars
Matlab by Example
Engineering Department Computing Seminars
Document Preparation using LaTeX
Engineering Department Computing Seminars
C++ (part 3 of 4)
Engineering Department Computing Seminars
C++ (part 1 of 4)
Engineering Department Computing Seminars
The CUED central computing system
Probabilistic Systems, Information, and Inference Group Seminars
Applications of Image Registration
Probabilistic Systems, Information, and Inference Group Seminars
Applications of Image Registration
Probabilistic Systems, Information, and Inference Group Seminars
Topics on joint source-channel coding and multiuser detection
Probabilistic Systems, Information, and Inference Group Seminars
Improving ARMA-GARCH Forecasting
Engineering Department Computing Seminars
C++ (part 1)
Probabilistic Systems, Information, and Inference Group Seminars
Adaptive Monte Carlo on multivariate binary sampling spaces
Probabilistic Systems, Information, and Inference Group Seminars
Adaptive Networks and Bio-Inspired Cognition
Probabilistic Systems, Information, and Inference Group Seminars
Sensor Networks for the Sake of Security - NOW FRIDAY 23rd JULY
Probabilistic Systems, Information, and Inference Group Seminars
Functional methods for the design of shiftable and steerable wavelet transforms
Probabilistic Systems, Information, and Inference Group Seminars
CANCELLED
Probabilistic Systems, Information, and Inference Group Seminars
Itakura-Saito nonnegative factorizations of the power spectrogram for music signal decomposition
Probabilistic Systems, Information, and Inference Group Seminars
Bit-Interleaved Coded Modulation Systems with Quantized Soft-Out Demodulators
Probabilistic Systems, Information, and Inference Group Seminars
Network Coding for the Multiple Access Channel
Probabilistic Systems, Information, and Inference Group Seminars
Toward Sparse and Structured Projections for Compressed Sensing
Probabilistic Systems, Information, and Inference Group Seminars
Routing and Network Coding on Lines, Stars, and Rings
Probabilistic Systems, Information, and Inference Group Seminars
Research Challenges in Cognitive Radio Networks
Probabilistic Systems, Information, and Inference Group Seminars
Approximate Sparsity Recovery from Noisy Compressed Sensing
Probabilistic Systems, Information, and Inference Group Seminars
Classification and Dimensionality Reduction using Convex Class Models
Probabilistic Systems, Information, and Inference Group Seminars
Learning transformational invariants from natural movies
Probabilistic Systems, Information, and Inference Group Seminars
Filter Design with Secrecy Constraints
Probabilistic Systems, Information, and Inference Group Seminars
Visual Signal Processing Algorithms in Post Production
Probabilistic Systems, Information, and Inference Group Seminars
Compressed sensing: some theory, algorithms and applications
Probabilistic Systems, Information, and Inference Group Seminars
Markov Random Fields for Classification in High Dimensional Spaces with Application to fMRI Analysis
Probabilistic Systems, Information, and Inference Group Seminars
Navigation and collision avoidance for aircraft and cars
Probabilistic Systems, Information, and Inference Group Seminars
Model-based EM Source Separation and Localization in Reverberant Mixtures
Probabilistic Systems, Information, and Inference Group Seminars
Bayesian Inference for Diffusions using Data Augmentation MCMC
Probabilistic Systems, Information, and Inference Group Seminars
A Bayesian Wavelet-Based Multidimensional Deconvolution With Sub-Band Emphasis
Probabilistic Systems, Information, and Inference Group Seminars
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering
Probabilistic Systems, Information, and Inference Group Seminars
Information Fusion for Remote Sensing Satellite Networks
Probabilistic Systems, Information, and Inference Group Seminars
Blind sparsity constrained inverse problems in volumetric imaging
Probabilistic Systems, Information, and Inference Group Seminars
Dynamic Group Tracking
Probabilistic Systems, Information, and Inference Group Seminars
Signal/Image Reconstruction from Sparse Measurements: Theory, Algorithms and Applications
⚠️ Signal Processing Laboratory Seminar
Machine Learning @ CUED
Graph Kernels for Data Mining
Machine Learning @ CUED
Geometric Algorithms for Linear Independent Component Analysis
Machine Learning @ CUED
Covariate Shift Adaptation: Supervised Learning When Training and Test Inputs Have Different Distributions
Probabilistic Systems, Information, and Inference Group Seminars
Subspace-based Fundamental Frequency Estimation
Probabilistic Systems, Information, and Inference Group Seminars
Modeling Natural Sounds with Modulation Cascade Processes
Probabilistic Systems, Information, and Inference Group Seminars
Hyperanalytic Denoising
Probabilistic Systems, Information, and Inference Group Seminars
Analysis of Channel Coding for Redundant Sources
Probabilistic Systems, Information, and Inference Group Seminars
Estimating entropy rates with confidence intervals
Probabilistic Systems, Information, and Inference Group Seminars
Reduced kernel rules for classification
Probabilistic Systems, Information, and Inference Group Seminars
Complex Wavelets: What are they and what can they do?
Machine Learning @ CUED
An Introduction to Non-parametric Bayesian Methods
⚠️ Room changed this week!
Probabilistic Systems, Information, and Inference Group Seminars
Statistical Applications of the Cross-Entropy Method
Probabilistic Systems, Information, and Inference Group Seminars
Geometry of Sparse Representations
⚠️ Room changed
Please see above for contact details for this list.