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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...
VIS
2008
IEEE
134views Visualization» more  VIS 2008»
14 years 9 months ago
A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality
The Morse-Smale (MS) complex has proven to be a useful tool in extracting and visualizing features from scalar-valued data. However, efficient computation of the MS complex for lar...
Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann,...
CCGRID
2003
IEEE
14 years 28 days ago
Using grid technologies to face medical image analysis challenges
The availability of digital imagers inside hospitals and their ever growing inspection capabilities have established digital medical images as a key component of many pathologies ...
Johan Montagnat, Vincent Breton, Isabelle E. Magni...
IDA
2011
Springer
13 years 2 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...
LSGRID
2004
Springer
14 years 29 days ago
Development of a Grid Infrastructure for Functional Genomics
The BRIDGES project is incrementally developing and exploring database integration over six geographically distributed research sites with the framework of a Wellcome Trust biomedi...
Richard O. Sinnott, Micha Bayer, Derek Houghton, D...