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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 7 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...
90
Voted
IPPS
1998
IEEE
15 years 5 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
104
Voted
CEC
2010
IEEE
15 years 2 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...
121
Voted
ICIP
2008
IEEE
16 years 2 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 2 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...