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» Selection in the Presence of Noise
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ICPPW
2006
IEEE
15 years 3 months ago
Dynamic Algorithm Selection in Parallel GAMESS Calculations
Applications augmented with adaptive capabilities are becoming common in parallel computing environments which share resources such as main memory, network, or disk I/O. For large...
Nurzhan Ustemirov, Masha Sosonkina, Mark S. Gordon...
CORR
2008
Springer
102views Education» more  CORR 2008»
14 years 10 months ago
Spreadsheet modelling for solving combinatorial problems: The vendor selection problem
Spreadsheets have grown up and became very powerful and easy to use tools in applying analytical techniques for solving business problems. Operations managers, production managers...
Pandelis G. Ipsilandis
TMI
2008
85views more  TMI 2008»
14 years 9 months ago
Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
Adam C. Zelinski, Lawrence L. Wald, K. Setsompop, ...
ICPR
2000
IEEE
15 years 2 months ago
Logical Templates for Feature Extraction in Fingerprint Images
We present a novel approach for extraction of minutiaefeatures from fingerprint images. Theproposed approach is based on the use of logical templates for minutiae extraction in th...
Bir Bhanu, Michael Boshra, Xuejun Tan
ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
14 years 8 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou