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PR
2006
229views more  PR 2006»
13 years 9 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
EMMCVPR
2009
Springer
14 years 25 days ago
Complex Diffusion on Scalar and Vector Valued Image Graphs
Complex diffusion was introduced in the image processing literature as a means to achieve simultaneous denoising and enhancement of scalar valued images. In this paper, we present ...
Dohyung Seo, Baba C. Vemuri
IMECS
2007
13 years 10 months ago
Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
— Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
TASLP
2002
109views more  TASLP 2002»
13 years 8 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
BMCBI
2008
208views more  BMCBI 2008»
13 years 9 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...