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BMCBI
2008
110views more  BMCBI 2008»
15 years 6 months ago
Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated da
Background: We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conser...
Neil F. W. Saunders, Ross I. Brinkworth, Thomas Hu...
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
15 years 5 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
TSMC
2010
15 years 1 months ago
Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption
In recent years the protection of biometric data has gained increased interest from the scientific community. Methods such as the fuzzy commitment scheme, helper data system, fuzzy...
Emile J. C. Kelkboom, Gary Garcia Molina, Jeroen B...
ICASSP
2011
IEEE
14 years 10 months ago
Use of VTL-wise models in feature-mapping framework to achieve performance of multiple-background models in speaker verification
Recently, Multiple Background Models (M-BMs) [1, 2] have been shown to be useful in speaker verification, where the M-BMs are formed based on different Vocal Tract Lengths (VTLs)...
Achintya Kumar Sarkar, Srinivasan Umesh
ICIP
2005
IEEE
16 years 8 months ago
Image fusion using a new framework for complex wavelet transforms
Image fusion is the process of extracting meaningful visual information from two or more images and combinining them to form one fused image. Image fusion is important within many...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...