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» Informative sampling for large unbalanced data sets
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116
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WCE
2007
15 years 4 months ago
High energy white beam x-ray diffraction studies of residual strains in engineering components
— In order to predict the durability of engineering components and improve performance, it is mandatory to understand residual stresses. The last decade has witnessed a significa...
Shu Yan Zhang, Willem J. J. Vorster, Tea-Sung Jun,...
211
Voted
TCBB
2011
14 years 10 months ago
Data Mining on DNA Sequences of Hepatitis B Virus
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...
GW
2009
Springer
136views Biometrics» more  GW 2009»
15 years 1 months ago
Multiscale Detection of Gesture Patterns in Continuous Motion Trajectories
Abstract. We describe a numerical method for scale invariant detection of gesture patterns in continuous 2D motions. The algorithm is fast due to our rejection-based reasoning achi...
Radu-Daniel Vatavu, Laurent Grisoni, Stefan Gheorg...
163
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ICDM
2010
IEEE
212views Data Mining» more  ICDM 2010»
15 years 1 months ago
Modeling Information Diffusion in Implicit Networks
Social media forms a central domain for the production and dissemination of real-time information. Even though such flows of information have traditionally been thought of as diffu...
Jaewon Yang, Jure Leskovec
115
Voted
IPPS
2006
IEEE
15 years 9 months 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....