Weighted color and texture sample selection for image matting

2012 ◽  
Author(s):  
E. Shahrian ◽  
D. Rajan
Keyword(s):  
Sample Selection ◽  
Image Matting ◽  
Texture Sample ◽  
Selection For

Weighted Color and Texture Sample Selection for Image Matting

2013 ◽  
Vol 22 (11) ◽  
pp. 4260-4270 ◽  
Author(s):  
Ehsan Shahrian Varnousfaderani ◽  
Deepu Rajan
Keyword(s):  
Sample Selection ◽  
Image Matting ◽  
Texture Sample ◽  
Selection For

scholarly journals Characterization of M dwarfs using optical mid-resolution spectra for exploration of small exoplanets

2020 ◽  
Author(s):  
Yohei Koizumi ◽  
Masayuki Kuzuhara ◽  
Masashi Omiya ◽  
Teruyuki Hirano ◽  
John Wisniewski ◽  
...  
Keyword(s):  
Sample Selection ◽  
Optical Spectra ◽  
Average Error ◽  
Spectral Energy ◽  
M Dwarfs ◽  
Energy Distributions ◽  
Fitting Procedures ◽  
Optical Region ◽  
Selection For

Abstract We present the optical spectra of 338 nearby M dwarfs, and compute their spectral types, effective temperatures (Teff), and radii. Our spectra were obtained using several optical spectrometers with spectral resolutions that range from 1200 to 10000. As many as 97% of the observed M-type dwarfs have a spectral type of M3–M6, with a typical error of 0.4 subtype, among which the spectral types M4–M5 are the most common. We infer the Teff of our sample by fitting our spectra with theoretical spectra from the PHOENIX model. Our inferred Teff is calibrated with the optical spectra of M dwarfs whose Teff have been well determined with the calibrations that are supported by previous interferometric observations. Our fitting procedures utilize the VO absorption band (7320–7570 Å) and the optical region (5000–8000 Å), yielding typical errors of 128 K (VO band) and 85 K (optical region). We also determine the radii of our sample from their spectral energy distributions. We find most of our sample stars have radii of <0.6 R⊙, with the average error being 3%. Our catalog enables efficient sample selection for exoplanet surveys around nearby M-type dwarfs.

scholarly journals Mineral Magnetic Studies of Archaeological Samples: Implications for Sample Selection for Paleointensity Determinations.

1997 ◽  
Vol 49 (4) ◽  
pp. 567-585 ◽  
Author(s):  
Yulong Cui ◽  
Kenneth L. Verosub ◽  
Andrew P. Roberts ◽  
Mary Kovacheva
Keyword(s):  
Sample Selection ◽  
Magnetic Studies ◽  
Selection For ◽  
Mineral Magnetic

scholarly journals Investigating Subantarctic 14C Ages of Different Peat Components: Site and Sample Selection for Developing Robust Age Models in Dynamic Landscapes

Radiocarbon ◽  
2019 ◽  
Vol 61 (4) ◽  
pp. 1009-1027 ◽  
Author(s):  
Zoë A Thomas ◽  
Chris S M Turney ◽  
Alan Hogg ◽  
Alan N Williams ◽  
Chris J Fogwill
Keyword(s):  
Bulk Material ◽  
Sample Selection ◽  
Fine Fraction ◽  
Systematic Difference ◽  
Coarse Fraction ◽  
Sedimentary Sequences ◽  
Subantarctic Islands ◽  
Dynamic Landscapes ◽  
Age Model ◽  
Selection For

ABSTRACTPrecise radiocarbon (14C) dating of sedimentary sequences is important for developing robust chronologies of environmental change, but sampling of suitable components can be challenging in highly dynamic landscapes. Here we investigate radiocarbon determinations of different peat size fractions from six peat sites, representing a range of geomorphological contexts on the South Atlantic subantarctic islands of the Falklands and South Georgia. To investigate the most suitable fraction for dating, 112 measurements were obtained from three components within selected horizons: a fine fraction <0.2 mm, a coarse fraction >0.2 mm, and bulk material. We find site selection is critical, with locations surrounded by high-ground and/or relatively slowly accumulating sites more susceptible to the translocation of older carbon. Importantly, in locations with reduced potential for redeposition of material, our results show that there is no significant or systematic difference between ages derived from bulk material, fine or coarse (plant macrofossil) material, providing confidence in the resulting age model. Crucially, in areas comprising complex terrain with extreme relief, we recommend dating macrofossils or bulk carbon rather than a fine fraction, or employing comprehensive dating of multiple sedimentary fractions to determine the most reliable fraction(s) for developing a robust chronological framework.

An Online Virtual Metrology Model With Sample Selection for the Tracking of Dynamic Manufacturing Processes With Slow Drift

2019 ◽  
Vol 32 (4) ◽  
pp. 574-582 ◽  
Author(s):  
Jianshe Feng ◽  
Xiaodong Jia ◽  
Feng Zhu ◽  
James Moyne ◽  
Jimmy Iskandar ◽  
...  
Keyword(s):  
Sample Selection ◽  
Manufacturing Processes ◽  
Virtual Metrology ◽  
Slow Drift ◽  
Selection For
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