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122
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 1 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
158
Voted
CPM
1998
Springer
209views Combinatorics» more  CPM 1998»
15 years 5 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
114
Voted
SDM
2010
SIAM
226views Data Mining» more  SDM 2010»
15 years 2 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
101
Voted
DSD
2009
IEEE
148views Hardware» more  DSD 2009»
15 years 7 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
101
Voted
ISBI
2007
IEEE
15 years 7 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...