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» Signal Processing in Large Systems: a New Paradigm
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BMCBI
2010
193views more  BMCBI 2010»
13 years 8 months ago
MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
Background: Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as w...
Tomás Pluskal, Sandra Castillo, Alejandro V...
IPPS
2006
IEEE
14 years 2 months ago
Support for adaptivity in ARMCI using migratable objects
Many new paradigms of parallel programming have emerged that compete with and complement the standard and well-established MPI model. Most notable, and successful, among these are...
Chao Huang, Chee Wai Lee, Laxmikant V. Kalé
IJCAI
1989
13 years 9 months ago
A Homogeneous Framework for Visual Recognition
A homogeneous paradigm for evidence integration is presented, and a vision system to recognize 3D objects is demonstrated using this paradigm. A new concept called generalizedfeat...
Rick Kjeldsen, Ruud M. Bolle, Andrea Califano, Rus...
JMLR
2010
195views more  JMLR 2010»
13 years 6 months ago
Online Learning for Matrix Factorization and 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 statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICASSP
2011
IEEE
12 years 12 months ago
Sparsity-based defect pixel compensation for arbitrary camera raw images
In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the production quality of CMOS image sensors is very high, f...
Michael Schöberl, Jürgen Seiler, Bernhar...