Markus Svensén

According to our database, Markus Svensén authored at least 11 papers between 1995 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Potential, challenges and future directions for deep learning in prognostics and health management applications.

Olga Fink, Qin Wang, Markus Svensén, Pierre Dersin, Wan-Jui Lee, Melanie Ducoffe

Eng. Appl. Artif. Intell., 2020

2005

Robust Bayesian mixture modelling.

Markus Svensén, Christopher M. Bishop

Neurocomputing, 2005

2004

Distinguishing text from graphics in on-line handwritten ink.

Christopher M. Bishop, Markus Svensén, Geoffrey E. Hinton

Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

2003

Bayesian Hierarchical Mixtures of Experts.

Christopher M. Bishop, Markus Svensén

Proceedings of the UAI '03, 2003

2002

ICA of fMRI Group Study Data.

Markus Svensén, Frithjof Kruggel, Habib Benali

NeuroImage, 2002

2000

Probabilistic Modelling of Single Trial fMRI Data.

Markus Svensén, Frithjof Kruggel, D. Yves von Cramon

IEEE Trans. Medical Imaging, 2000

1999

Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm.

Markus Svensén, Frithjof Kruggel, D. Yves von Cramon

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

1998

GTM: The Generative Topographic Mapping.

Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams

Neural Comput., 1998

Developments of the generative topographic mapping.

Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams

Neurocomputing, 1998

1996

GTM: A Principled Alternative to the Self-Organizing Map.

Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

EM Optimization of Latent-Variables Density Models.

Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams

Proceedings of the Advances in Neural Information Processing Systems 8, 1995