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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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BMCBI
2010
159views more  BMCBI 2010»
14 years 11 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
15 years 5 months ago
Databionic Visualization of Music Collections According to Perceptual Distance
We describe the MusicMiner system for organizing large collections of music with databionic mining techniques. Low level audio features are extracted from the raw audio data on sh...
Fabian Mörchen, Alfred Ultsch, Mario Nöc...
ACL
2009
14 years 9 months ago
Annotating and Recognising Named Entities in Clinical Notes
This paper presents ongoing research in clinical information extraction. This work introduces a new genre of text which are not well-written, noise prone, ungrammatical and with m...
Yefeng Wang
IEAAIE
2010
Springer
14 years 9 months ago
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps
Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. However, more powerful tools are needed in order to fulfi...
Jorge García-Gutiérrez, Francisco Ma...
AMC
2007
128views more  AMC 2007»
14 years 11 months ago
Class label versus sample label-based CCA
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...
Tingkai Sun, Songcan Chen