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» Boosting with Diverse Base Classifiers
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BIBM
2010
IEEE
144views Bioinformatics» more  BIBM 2010»
14 years 7 months ago
Identification and quantification of abundant species from pyrosequences of 16S rRNA by consensus alignment
16S rRNA gene profiling has recently been boosted by the development of pyrosequencing methods. A common analysis is to group pyrosequences into Operational Taxonomic Units (OTUs),...
Yuzhen Ye
ICIP
2005
IEEE
15 years 11 months ago
Using visual features for anti-spam filtering
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
Ching-Tung Wu, Kwang-Ting Cheng, Qiang Zhu, Yi-Leh...
ISBI
2006
IEEE
15 years 10 months ago
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification
This paper presents a fully automatic white matter lesion (WML) segmentation method, based on local features determined by combining multiple MR acquisition protocols, including T...
Abbas Jawad, Bilge Karaçali, Christos Davat...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 10 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
CVPR
2010
IEEE
15 years 5 months ago
Supervised Translation-Invariant Sparse Coding
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Jianchao Yang, Kai Yu, Thomas Huang