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» A Practical Method for the Sparse Resultant
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ICCS
2003
Springer
15 years 3 months ago
Parallelisation of Sparse Grids for Large Scale Data Analysis
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Jochen Garcke, Markus Hegland, Ole Møller N...
ICASSP
2010
IEEE
14 years 10 months ago
Design of sparse filters for channel shortening
Abstract—Channel shortening filters have been used in acoustics to reduce reverberation, in error control decoding to reduce complexity, and in communication systems to reduce i...
Aditya Chopra, Brian L. Evans
JMLR
2012
13 years 11 days ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell
IJRR
2007
100views more  IJRR 2007»
14 years 9 months ago
Exactly Sparse Extended Information Filters for Feature-based SLAM
Recent research concerning the Gaussian canonical form for Simultaneous Localization and Mapping (SLAM) has given rise to a handful of algorithms that attempt to solve the SLAM sc...
Matthew Walter, Ryan Eustice, John J. Leonard
BMCBI
2007
158views more  BMCBI 2007»
14 years 10 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...