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EDM
2010
160views Data Mining» more  EDM 2010»
13 years 9 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
ICASSP
2011
IEEE
12 years 11 months ago
Hilbert envelope based features for robust speaker identification under reverberant mismatched conditions
It is well known that MFCC based speaker identification (SID) systems easily break down under mismatched training and test conditions. One such mismatch occurs when a SID system ...
Seyed Omid Sadjadi, John H. L. Hansen
CVPR
1999
IEEE
14 years 10 months ago
Model-Guided Segmentation of Corpus Callosum in MR Images
Magnetic resonance imaging (MRI) of the brain, followed by automated segmentation of the corpus callosum (CC) in midsagittal sections have important applications in both clinical ...
Arvid Lundervold, Torfinn Taxt, Nicolae Duta, Anil...
ICCV
2003
IEEE
14 years 10 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
RECOMB
2007
Springer
14 years 8 months ago
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data
Genetic instability represents an important type of biological markers for cancer and many other diseases. Array Comparative Genome Hybridization (aCGH) is a high-throughput cytoge...
Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing