30 results on '"Girolami, Mark"'
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2. Applications
3. The Non-Linear PCA Algorithm and Blind Source Separation
4. Temporal Anti-Hebbian Learning
5. Information Theoretic Non-Linear Feature Extraction and Blind Source Separation
6. Fourth Order Cumulant Based Blind Source Separation
7. Self-Organising Neural Networks
8. Background to Blind Source Separation
9. Introduction
10. Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance
11. Extraction of Sleep-Spindles from the Electroencephalogram (EEG)
12. The Pearson Mixture Model for Cluster Analysis and Data Visualisation
13. Extraction of Sleep-Spindles from the Electroencephalogram (EEG)
14. Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance
15. Self-Organising Neural Networks
16. The Pearson Mixture Model for Cluster Analysis and Data Visualisation
17. ICA on Noisy Data: A Factor Analysis Approach
18. Searching for Independence in Electromagnetic Brain Waves
19. Blind Separation of Noisy Image Mixtures
20. Independent Components in Text
21. Seeking Independence Using Biologically-Inspired ANN’s
22. Multi-Class Independent Component Analysis (MUCICA) for Rank-Deficient Distributions
23. Ensemble Learning
24. Bayesian Non-Linear Independent Component Analysis by Multi-Layer Perceptrons
25. The Independence Assumption: Dependent Component Analysis
26. The Independence Assumption: Analyzing the Independence of the Components by Topography
27. Ensemble Learning for Blind Image Separation and Deconvolution
28. Analysis of Optical Imaging Data Using Weak Models and ICA
29. Particle Filters for Non-Stationary ICA
30. Hidden Markov Independent Component Analysis
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