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» Learning the Relative Importance of Features in Image Data
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BMCBI
2010
133views more  BMCBI 2010»
13 years 8 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
14 years 2 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 2 months ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu
VISUALIZATION
1997
IEEE
14 years 27 days ago
Extracting feature lines from 3D unstructured grids
This paper discusses techniques for extracting feature lines from three-dimensional unstructured grids. Our twin objectives are to facilitate the interactive manipulation of these...
Kwan-Liu Ma, Victoria Interrante
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 2 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...