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ICML
2009
IEEE
16 years 7 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICPR
2010
IEEE
15 years 8 months ago
Flooding and MRF-Based Algorithms for Interactive Segmentation
We propose a method for interactive colour image segmentation. The goal is to detect an object from the background, when some markers on object(s) and the background are given. As...
Ilias Grinias, Nikos Komodakis, G. Tziritas
159
Voted
ISBI
2006
IEEE
16 years 7 months ago
Two probabilistic algorithms for MEG/EEG source reconstruction
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, ...
CISS
2007
IEEE
16 years 1 months ago
Collector Receiver Design for Data Collection and Localization in Sensor-driven Networks
— We consider a sensor network in which the sensors communicate at will when they have something to report, without prior coordination with other sensors or with data collection ...
Bharath Ananthasubramaniam, Upamanyu Madhow
MICCAI
2009
Springer
16 years 8 months ago
A Combined Surface And VOlumetric Registration (SAVOR) Framework to Study Cortical Biomarkers and Volumetric Imaging Data
Constructing a one to one correspondence between whole brain MR image scans is a problem of critical importance in neuroimaging analyses. We present a framework to combine the stre...
Eli Gibson, Ali R. Khan, Mirza Faisal Beg