Oct 22nd, 2009| 07:08 pm | Posted by hlee
[arXiv:stat.ME:0910.2585]
Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications
by Murphy, Dean, and Raftery
Classifying or clustering (or semi supervised learning) spectra is a very challenging problem from collecting statistical-analysis-ready data to reducing the dimensionality without sacrificing complex information in each spectrum. Not only how to estimate spiky (not differentiable) curves via statistically well defined procedures of estimating equations but also how to transform data that match the regularity conditions in statistics is challenging.
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Tags:
BIC,
Classification,
clustering,
cross-validation,
curse of dimensionality,
discriminant analysis,
graphical model,
mclust,
model based,
semi-supervised learning,
statistical learning,
variable selection Category:
Algorithms,
arXiv,
Cross-Cultural,
Data Processing,
Jargon,
Methods,
Spectral,
Stat |
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Jul 2nd, 2007| 06:07 pm | Posted by hlee
From arXiv/astro-ph:0706.4484
Spectroscopic Surveys: Present by Yip. C. overviews recent spectroscopic sky surveys and spectral analysis techniques toward Virtual Observatories (VO). In addition that spectroscopic redshift measures increase like Moore’s law, the surveys tend to go deeper and aim completeness. Mainly elliptical galaxy formation has been studied due to more abundance compared to spirals and the galactic bimodality in color-color or color-magnitude diagrams is the result of the gas-rich mergers by blue mergers forming the red sequence. Principal component analysis has incorporated ratios of emission line-strengths for classifying Type-II AGN and star forming galaxies. LyЮБ identifies high z quasars and other spectral patterns over z reveal the history of the early universe and the characteristics of quasars. Also, the recent discovery of 10 satellites to the Milky Way is mentioned.
Continue reading ‘[ArXiv] Spectroscopic Survey, June 29, 2007’ »
Tags:
bimodality,
chi-square minimization,
Classification,
CMD,
Estimation,
machine learning,
massive data,
model based,
PCA,
spectral analysis,
spectroscopic,
survey,
VO Category:
arXiv,
Astro,
Bayesian,
Data Processing,
Fitting,
Frequentist,
Methods,
Spectral |
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