Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes
暂无分享,去创建一个
Aleksandar Lazarevic | Dragoljub Pokrajac | Vojislav Kecman | Samantha McDaniel | Tia Vance | Noureddine Melikechi | Natasa Reljin | Aristides Marcano | Yuri Markushin
[1] R L Somorjai,et al. Near‐optimal region selection for feature space reduction: novel preprocessing methods for classifying MR spectra , 1998, NMR in biomedicine.
[2] Barry K. Lavine,et al. Raman Spectroscopy and Genetic Algorithms for the Classification of Wood Types , 2001 .
[3] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[4] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[5] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[6] Saravanan Dharmaraj,et al. The classification of Phyllanthus niruri Linn. according to location by infrared spectroscopy , 2006 .
[7] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[8] Frank C De Lucia,et al. Laser-induced breakdown spectroscopy for the classification of unknown powders. , 2008, Applied optics.
[9] Vojislav Kecman,et al. Adaptive local hyperplane classification , 2008, Neurocomputing.
[10] Ian T. Jolliffe,et al. Discarding Variables in a Principal Component Analysis. I: Artificial Data , 1972 .
[11] Gabriele Schackert,et al. Classification of human gliomas by infrared imaging spectroscopy and chemometric image processing , 2005 .
[12] Aleksandar Lazarevic,et al. Classification of LIBS Protein Spectra Using Multilayer Perceptrons , 2010, Trans. Mass Data Anal. Images Signals.
[13] Nicolas André,et al. Extraction of information from laser-induced breakdown spectroscopy spectral data by multivariate analysis. , 2008, Applied optics.
[14] S. Buckley,et al. Laser-Induced Breakdown Spectroscopy Detection and Classification of Biological Aerosols , 2003, Applied spectroscopy.
[15] Plamen Angelov,et al. Intelligent interrogation of mid-IR spectroscopy data from exfoliative cervical cytology using self-learning classifier eClass , 2008 .
[16] Vladimir Vapnik,et al. Statistical learning theory , 1998 .