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ISBI
2004
IEEE
15 years 10 months ago
Optimal Variable-Density k-Space Sampling in MRI
Magnetic resonance imaging (MRI) is often times limited by scan time. To reduce scan time, there have been various efforts to reduce the number of sampling points. In most cases, ...
Jin Hyung Lee, Dwight G. Nishimura, Brad Osgood
ISNN
2010
Springer
14 years 8 months ago
Pruning Training Samples Using a Supervised Clustering Algorithm
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
Minzhang Huang, Hai Zhao, Bao-Liang Lu
MM
2003
ACM
124views Multimedia» more  MM 2003»
15 years 3 months ago
Experience based sampling technique for multimedia analysis
We present a novel experience based sampling or experiential sampling technique which has the ability to focus on the analysis’s task by making use of the contextual information...
Jun Wang, Mohan S. Kankanhalli
BIOINFORMATICS
2007
50views more  BIOINFORMATICS 2007»
14 years 10 months ago
Exploiting sample variability to enhance multivariate analysis of microarray data
Page 1 of 2Exploiting sample variability to enhance multivariate analysis of microarray data -- Möller-Le... http://bioinformatics.oxfordjournals.org/cgi/content/abstract/23/20/2...
Carla S. Möller-Levet, Catharine M. West, Cri...

Publication
309views
15 years 7 months ago
Improving Nearest Neighbor Classification with Cam Weighted Distance
Nearest neighbor (NN) classification assumes locally constant class conditional probabilities, and suffers from bias in high dimensions with a small sample set. In this paper, we p...
Changyin Zhou, Yanqiu Chen