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» Interval discriminant analysis using support vector machines
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BMCBI
2010
97views more  BMCBI 2010»
15 years 1 months ago
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear a
Background: Protein kinases play crucial roles in cell growth, differentiation, and apoptosis. Abnormal function of protein kinases can lead to many serious diseases, such as canc...
Maris Lapinsh, Jarl E. S. Wikberg
ICASSP
2011
IEEE
14 years 5 months ago
Epileptic seizure prediction using the spatiotemporal correlation structure of intracranial EEG
A patient-specific seizure prediction algorithm is proposed that extracts novel multivariate signal coherence features from ECoG recordings and classifies a patient’s pre-seiz...
James R. Williamson, Daniel W. Bliss, David W. Bro...
ICCV
2009
IEEE
14 years 11 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
ICIP
2001
IEEE
16 years 3 months ago
Face detection using large margin classifiers
Large margin classifiers have demonstrated their advantages in many visual learning tasks, and have attracted much attention in vision and image processing communities. In this pa...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ICPR
2008
IEEE
15 years 8 months ago
Computer-aided grading of lymphangioleiomyomatosis (LAM) using HRCT
Lymphangioleiomyomatosis (LAM) is a multisystem disorder associated with proliferation of smooth muscle-like cells, which leads to destruction of lung parenchyma. Subjective gradi...
Jianhua Yao, Nilo Avila, Andrew Dwyer, Angelo M. T...