The EUSIPCO meeting is on August 25-29th and will also feature talks/presentation on sparsity which is one of the building block of Compressed sensing / Compressive Sensing. I have mentioned others before but there are some I missed because they are generally not available, here is a list of them. Thanks to Laurent and Jort for the info. The ones we have seen before here are:- Using sparse representations for missing data imputation in noise robust speech recognition, Jort Gemmeke (Radboud University Nijmegen, The Netherlands); Bert Cranen (Radboud University Nijmegen, The Netherlands). Also mentioned here.
- Gradient Pursuit for Non-Linear Sparse Signal Modelling, Thomas Blumensath (University of Edinburgh, United Kingdom); Mike Davies (University of Edinburgh, United Kingdom). Also mentioned here.
- Shift-invariant dictionary learning for sparse representations: extending K-SVD, Boris Mailhé (IRISA, France); Sylvain Lesage (IRISA (Univeristé de Rennes 1), France); Rémi Gribonval (INRIA, France); Pierre Vandergheynst (EPFL, Switzerland); Frédéric Bimbot (IRISA (CNRS & INRIA) - projet METISS, France). Also mentioned here.
- Distributed Target Localization via Spatial Sparsity, Volkan Cevher (University of Maryland, USA); Marco Duarte (Rice University, USA); Richard Baraniuk (Rice University, USA). Also mentioned here.
The ones that I did not cover before are listed below. Only the first paper is linking to the corresponding paper.
- Separation of stereo speech signals based on a sparse dictionary algorithm, Maria Jafari (Queen Mary, University of London, United Kingdom); Mark Plumbley (Queen Mary, University of London, United Kingdom)
- The ReMBo Algorithm: Accelerated Recovery of Jointly Sparse Vectors, Moshe Mishali (Technion, Israel); Yonina Eldar (Technion---Israel Institute of Technology, Israel)
- Regularized Dictionary Learning for Sparse Approximation, Mehrdad Yaghoobi (University of Edinburgh, United Kingdom); Thomas Blumensath (University of Edinburgh, United Kingdom); Mike Davies (University of Edinburgh, United Kingdom)
- Sparse stimuli for cochlear implant, Guoping Li (University of Southampton, United Kingdom); Mark Lutman (Institute of Sound and Vibration Research, United Kingdom)
- Learning Sparse Generative Models of Audiovisual Signals, Gianluca Monaci (University of California, Berkeley, USA); Friedrich Sommer (University of California Berkeley, USA); Pierre Vandergheynst (EPFL, Switzerland)
- A Complementary Matching Pursuit Algorithm for Sparse Approximation, Gagan Rath (IRISA-INRIA, France, France); Christine Guillemot (IRISA-INRIA, France, France)
- Sparse representations: recovery conditions and fast algorithm for a new criterion, Jean-Jacques Fuchs (irisa/université de Rennes, France)
- A Sparseness Controlled Proportionate Algorithm for Acoustic Echo Cancellation, Pradeep Loganathan (Imperial College, London., United Kingdom); Andy Khong (Nanyang Technological University, Singapore); Patrick Naylor (Imperial College London, United Kingdom)
- A sparse periodic decomposition and its application to speech representation, Makoto Nakashizuka (Osaka University, Graduate School of Engineering Science, Japan)
- Deterministic Dictionaries for Sparsity: A Group Representation Approach, Shamgar Gurevich (University of California, Berkeley, USA); Ronny Hadani (University of Chicago, USA); Nir Sochen (Tel-Aviv University, Israel)
- Iterative Enhancement of Event Related Potentials Through Sparsity Constraints, Nasser Mourad (McMaster University, Canada); James P. Reilly (McMaster University, Canada); Laurel Trainor (McMaster University, Canada); Bernhard Ross (Rotman Research Institute for Neuroscience, Canada)
The 10th European Conference on Computer Vision on October 12-18, 2008 in Marseille, France will feature two papers related to Compressive Sensing:
- Compressive Structured Light for Recovering Inhomogeneous Participating Media, Jinwei Gu, Shree Nayar, Eitan Grinspun, Peter Belhumeur, Ramamoorthi Ravi
- Background Subtraction for Compressed Sensing Camera, Volkan Cevher, Dikpal Reddy, Marco Duarte, Aswin Sankaranarayanan, Rama Chellappa, Richard Baraniuk.
Credit: NASA/JPL-Caltech/University of Arizona/Texas A&M. Sol 30 image from Phoenix SSI Imager.
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