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» Solving the Small Sample Size Problem of LDA
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ICIP
2007
IEEE
14 years 9 months ago
An Efficient Method for Compressed Sensing
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
BMCBI
2010
80views more  BMCBI 2010»
13 years 7 months ago
Power and sample size estimation in microarray studies
Background: Before conducting a microarray experiment, one important issue that needs to be determined is the number of arrays required in order to have adequate power to identify...
Wei-Jiun Lin, Huey-miin Hsueh, James J. Chen
CORR
2008
Springer
102views Education» more  CORR 2008»
13 years 7 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
CVPR
2005
IEEE
14 years 7 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
IC
2003
13 years 8 months ago
Sampling Internet Topologies: How Small Can We Go?
Abstract— In this paper, we develop methods to “sample” a large real network into a small realistic graph. Although topology modeling has received a lot attention lately, it ...
Vaishnavi Krishnamurthy, Junhong Sun, Michalis Fal...