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» Advanced High Performance Algorithms for Data Processing
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ICCV
2007
IEEE
16 years 6 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
CGO
2003
IEEE
15 years 9 months ago
Speculative Register Promotion Using Advanced Load Address Table (ALAT)
The pervasive use of pointers with complicated patterns in C programs often constrains compiler alias analysis to yield conservative register allocation and promotion. Speculative...
Jin Lin, Tong Chen, Wei-Chung Hsu, Pen-Chung Yew
ICASSP
2011
IEEE
14 years 7 months ago
Spatially sparsed Common Spatial Pattern to improve BCI performance
Common Spatial Pattern (CSP) is widely used in discriminating two classes of EEG in Brain Computer Interface applications. However, the performance of the CSP algorithm is affecte...
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Hiok Ch...
AIED
2005
Springer
15 years 9 months ago
Advanced Capabilities for Evaluating Student Writing: Detecting Off-Topic Essays Without Topic-Specific Training
We have developed a method to identify when a student essay is off-topic, i.e. the essay does not respond to the test question topic. This task is motivated by a real-world problem...
Jill Burstein, Derrick Higgins
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 4 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...