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» Detecting critical regions in multidimensional data sets
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ICASSP
2007
IEEE
14 years 2 months ago
Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
Martin J. McKeown, Junning Li, Xuemei Huang, Z. Ja...
INFOVIS
2003
IEEE
14 years 29 days ago
Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets
Large numbers of dimensions not only cause clutter in multidimensional visualizations, but also make it difficult for users to navigate the data space. Effective dimension manage...
Jing Yang, Wei Peng, Matthew O. Ward, Elke A. Rund...
APNOMS
2008
Springer
13 years 9 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
VIS
2005
IEEE
204views Visualization» more  VIS 2005»
14 years 9 months ago
Differential Protein Expression Analysis via Liquid-Chromatography/Mass-Spectrometry Data Visualization
Differential protein expression analysis is one of the main challenges in proteomics. It denotes the search for proteins, whose encoding genes are differentially expressed under a...
Lars Linsen, Julia Löcherbach, Matthias Berth...
TIP
2002
114views more  TIP 2002»
13 years 7 months ago
Lossy to lossless object-based coding of 3-D MRI data
Abstract--We propose a fully three-dimensional (3-D) object-based coding system exploiting the diagnostic relevance of the different regions of the volumetric data for rate allocat...
Gloria Menegaz, Jean-Philippe Thiran