Publications of David Barber sorted by recency
| Unified Inference for Variational Bayesian Linear Gaussian State-Space Models, and , Idiap-RR-50-2006 |
|
| Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition, and , Idiap-RR-84-2005 |
|
| A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space, , , and , Idiap-RR-33-2005 |
|
| EEG Classification using Generative Independent Component Analysis, and , Idiap-RR-77-2004 |
|
| Variational Information Maximization in Gaussian Channels, and , Idiap-RR-88-2004 |
|
| Variational Information Maximization for Population Coding, , Idiap-RR-85-2004 |
|
| The Auxiliary Variable Trick for deriving Kalman Smoothers, , Idiap-RR-87-2004 |
|
| Are two Classifiers performing equally? A treatment using Bayesian Hypothesis Testing, , Idiap-RR-57-2004 |
|
| An Auxiliary Variational Method, and , Idiap-RR-86-2004 |
|
| A Stable Switching Kalman Smoother, , Idiap-RR-89-2004 |
|
| A Generative Model for Music Transcription, , and , in: IEEE Transactions on Speech and Audio Processing, 2004 |
|
| Stable Directed Belief Propagation in Gaussian DAGs using the auxiliary variable trick, and , Idiap-RR-72-2005 |
|
| Probabilistic Tagging of Unstructured Genealogical Records, and , Idiap-RR-86-2005 |
|
| Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learing, , , and , Idiap-RR-88-2005 |
|
| Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learing, , , and , 2005 |
|
| Kernelized Infomax Clustering, and , Idiap-RR-73-2005 |
|
| Generative Temporal ICA for Classification in Asynchronous BCI Systems, and , in: The 2nd International IEEE EMBS Conference On Neural Engineering, 2005 |
|
| Generative Temporal ICA for Classification in Asynchronous BCI Systems, and , Idiap-RR-08-2005 |
|
| Generative Independent Component Analysis for EEG Classification, and , in: European Symposium on Artificial Neural Networks ESANN, 2005 |
|
| Efficient Kalman Smoothing for Harmonic State-Space Models, , Idiap-RR-87-2005 |
|
| Construction and comparison of approximations for switching linear gaussian state space models, and , Idiap-RR-06-2005 |
|
| Construction and comparison of approximations for switching linear gaussian state space models, , Idiap-RR-71-2005 |
|
| Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition, and , in: IEEE Signal Processing Letters, 2007 |
|
| A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space, , , and , in: Proceedings of the 22nd International Conference on Machine Learning, 2005 |
|
| A Generative Model for Music Transcription, , and , Idiap-RR-89-2005 |
|
| Unified Inference for Variational Bayesian Linear Gaussian State-Space Models, and , in: NIPS, 2006 |
|
| Switching Linear Dynamical Systems for Noise Robust Speech Recognition, and , Idiap-RR-08-2006 |
|
| EEG Classification using Generative Independent Component Analysis, and , in: Neurocomputing, 2006 |
|
| A Bayesian Alternative to Gain Adaptation in Autoregressive Hidden Markov Models, and , Idiap-RR-55-2006 |
|
| A Bayesian Switching Linear Dynamical System for Scale-Invariant robust speech extraction, and , Idiap-RR-52-2007 |
|
| Dynamical Dirichlet Mixture Model, , and , Idiap-RR-02-2007 |
|