Publication

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Publications associées (196)

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PyBrain

Yi Sun, Daniël Pieter Wierstra, Tom Schaul

PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easy-to-use yet still powerful algorithms for machine learning tasks, including a variety of predefined environments and benchmarks to test and compare algorithms. ...

Massachusetts Institute of Technology Press2010

Modeling perceptual learning: why mice do not play backgammon

Michael Herzog, Elisa Tartaglia, Carl Kristoffer Aberg

Perceptual learning is often considered one of the simplest and basic forms of learning in general. Accordingly, it is usually modeled with simple and basic neural networks which show good results in grasping the empirical data. Simple meets simple. Comple ...

2009

Integrated Modeling And Reconstruction With Sparsity Constraints For fDOT

Michaël Unser, Matthieu Guerquin-Kern, Jean-Charles Baritaux

We present a numerical framework for Fluorescence Diffuse Optical Tomography (fDOT) that combines a forward model together with an iterative reconstruction procedure. Using rapid linear solvers, we derived an efficient reconstruction strategy for quadratic ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Integrated Modeling and Reconstruction with Sparsity Constraints for fDOT

Michaël Unser, Matthieu Guerquin-Kern, Jean-Charles Baritaux

IEEE2009

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward- based Scenarios

Dario Floreano, Claudio Mattiussi, Peter Dürr, Andrea Soltoggio

memory in biological neural networks. Similarly, artificial neural networks could benefit from modulatory dynamics when facing certain types of learning problem. Here we test this hypothesis by introducing modulatory neurons to enhance or dampen neural pla ...

MIT Press2008

Machine learning approaches to text representation using unlabeled data

Mikaela Keller

With the rapid expansion in the use of computers for producing digitalized textual documents, the need of automatic systems for organizing and retrieving the information contained in large databases has become essential. In general, information retrieval s ...

EPFL2008

Handling Objects by Their Handles

Sahar El Khoury

This paper presents an efficient method to decide robust grasps given new objects using example-based learning. A robust grasp is a stable grasp, suitable for object manipulation. Adaptability to object manipulation is ensured by imitating the human choice ...

2008

Toward Self-Healing Multitier Services

George Candea

Are self-healing database-centric multitier services utopia or just a hard puzzle? We argue for the latter and aim to identify the missing pieces of this puzzle. We advocate robust and scalable learning-based approaches to self-healing that we expect to wo ...

2007

Machine Learning Approaches to Text Representation using Unlabeled Data

Mikaela Keller

Ecole Polytechnique Fédérale de Lausanne2006

Machine Learning Approaches to Text Representation using Unlabeled Data

Mikaela Keller

IDIAP2006