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BMCBI
2004
205views more  BMCBI 2004»
13 years 9 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
TVCG
2011
170views more  TVCG 2011»
13 years 4 months ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...

Publication
233views
15 years 8 months ago
Design Considerations for the Virtual Source/Virtual Destination (VS/VD) Feature in the ABR Service of ATM Networks
The Available Bit Rate (ABR) service in ATM networks has been specified to allow fair and efficient support of data applications over ATM utilizing capacity left over after servici...
Shiv Kalyanaraman, Raj Jain, Jianping Jiang, Rohit...
CEC
2010
IEEE
13 years 10 months ago
Automatic construction of image transformation algorithms using feature based genetic image network
Image processing and recognition technologies are becoming increasingly important. Automatic construction methods for image transformation algorithms proposed to date approximate a...
Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomo...
ACIVS
2006
Springer
14 years 1 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho