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» Maximal Vector Computation in Large Data Sets
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ARTMED
2002
92views more  ARTMED 2002»
15 years 6 months ago
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
In bio-medical domains there are many applications involving the modelling of multivariate time series (MTS) data. One area that has been largely overlooked so far is the particul...
Stephen Swift, Xiaohui Liu
BMCBI
2008
129views more  BMCBI 2008»
15 years 6 months ago
EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management
Background: Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large d...
Geraint Barton, J. C. Abbott, Norie Chiba, D. W. H...
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
IPPS
2006
IEEE
16 years 20 days ago
Parallel ICA methods for EEG neuroimaging
HiPerSAT, a C++ library and tools, processes EEG data sets with ICA (Independent Component Analysis) methods. HiPerSAT uses BLAS, LAPACK, MPI and OpenMP to achieve a high performa...
D. B. Keith, C. C. Hoge, Robert M. Frank, Allen D....
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
15 years 8 months ago
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic