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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 10 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
CPM
1998
Springer
209views Combinatorics» more  CPM 1998»
15 years 1 months ago
A Fast Bit-Vector Algorithm for Approximate String Matching Based on Dynamic Programming
The approximate string matching problem is to find all locations at which a query of length m matches a substring of a text of length n with k-or-fewer differences. Simple and prac...
Gene Myers
83
Voted
SDM
2010
SIAM
226views Data Mining» more  SDM 2010»
14 years 11 months ago
Two-View Transductive Support Vector Machines
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
DSD
2009
IEEE
148views Hardware» more  DSD 2009»
15 years 4 months ago
SIMD Architectural Enhancements to Improve the Performance of the 2D Discrete Wavelet Transform
—The 2D Discrete Wavelet Transform (DWT) is a time-consuming kernel in many multimedia applications such as JPEG2000 and MPEG-4. The 2D DWT consists of horizontal filtering alon...
Asadollah Shahbahrami, Ben H. H. Juurlink
ISBI
2007
IEEE
15 years 4 months ago
Multi-Resolution Image Segmentation Using the 2-Point Correlation Functions
Recently, the 2-point correlation functions (2-pcfs) were employed in building feature vectors for histological image segmentation. The 2-pcfs serve as estimators of material dist...
Firdaus Janoos, M. Okan Irfanoglu, Kishore Mosalig...