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102
Voted
LREC
2010
150views Education» more  LREC 2010»
15 years 3 months ago
Detection of Peculiar Examples using LOF and One Class SVM
This paper proposes the method to detect peculiar examples of the target word from a corpus. The peculiar example is regarded as an outlier in the given example set. Therefore we ...
Hiroyuki Shinnou, Minoru Sasaki
111
Voted
JBI
2008
15 years 1 months ago
The Field Representation Language
The complexity of quantitative biomedical models, and the rate at which they are published, is increasing to a point where managing the information has become all but impossible w...
Guy Tsafnat
134
Voted
JCP
2008
167views more  JCP 2008»
15 years 1 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
102
Voted
NAR
2007
84views more  NAR 2007»
15 years 1 months ago
The Multi-Q web server for multiplexed protein quantitation
Multi-Q Web Server provides an automated data analysis tool for multiplexed protein quantitation based on the iTRAQ labeling method. Multi-Q is designed as a generic platform that...
Chuan-Yih Yu, Yin-Hao Tsui, Yi-Hwa Yian, Ting-Yi S...
PR
2010
156views more  PR 2010»
15 years 8 days ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...