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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
16 years 1 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
IPPS
1998
IEEE
15 years 10 months ago
Parallel Optimisation in the SCOOP Library
This paper shows how parallelism has been integrated into SCOOP, a C++ class library for solving optimisation problems. After a description of the modeling and the optimisation par...
Per Kristian Nilsen, Nicolas Prcovic
CEC
2010
IEEE
15 years 7 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
ICIP
2008
IEEE
16 years 8 months ago
Parallel CABAC for low power video coding
With the growing presence of high definition video content on battery-operated handheld devices such as camera phones, digital still cameras, digital camcorders, and personal medi...
Vivienne Sze, Anantha P. Chandrakasan, Madhukar Bu...
ICIP
2009
IEEE
16 years 7 months ago
Parallel Rate-distortion Optimized Intra Mode Decision On Multi-core Graphics Processors Using Greedy-based Encoding Orders
Rate-distortion (RD) optimized intra-prediction mode selection can lead to significant improvement in coding efficiency in intraframe encoding. However, it would incur considerabl...