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Learning / Computational statistics / Lunar science / Supervised learning / Lunar craters / AdaBoost / Impact crater / Boosting / Müller / Ensemble learning / Machine learning / Artificial intelligence


Automatic Detection of Craters in Planetary Images: An Embedded Framework Using Feature Selection and Boosting Wei Ding1 , Tomasz F. Stepinski2 , Lourenco Bandeira3 , Ricardo Vilalta4 Youxi Wu5 , Zhenyu Lu5 , and Tianyu
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Document Date: 2010-09-05 18:04:21

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File Size: 644,44 KB

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City

Houston / Montreal / Pittsburgh / Corvalis / Toronto / Lisbon / London / /

Company

Crater Analysis Techniques Working Group / Y. Cheng A. E. / /

Country

Puerto Rico / United States / Canada / United Kingdom / /

Currency

USD / /

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Event

Product Recall / Product Issues / /

Facility

University of Vermont / Hong Kong University of Science / Tianyu Cao5 University of Massachusetts Boston / Texas4 University of Vermont / Planetary Institute / Portugal3 University of Houston / /

IndustryTerm

spatial data mining / supervised learning algorithm / it feasible to embed our algorithm / representative algorithms / detection using regular algorithms / supervised learning algorithms / exhaustive search / naive greedy algorithm / classification algorithm / genetic algorithm / kernel-based learning algorithms / transfer learning algorithms / test site / classification algorithms / detection algorithm / detection algorithms / learning algorithm / learning algorithms / basic boosting algorithm / image processing method / /

NaturalFeature

Given crater / Impact craters / km crater / /

Organization

University of Vermont / Vilalta4 Youxi Wu5 / Zhenyu Lu5 / and Tianyu Cao5 University of Massachusetts Boston / Boston / Hong Kong University of Science and Technology / University of Houston / Houston / Massachusetts1 Lunar and Planetary Institute / National Aeronautics and Space Administration / /

Person

Xindong Wu / J. Morley / Qiang Yang / G. Neukum / S. Van Gasselt / P. Muller / /

Position

cao / ABSTRACT General / representative / /

Product

score / /

ProgrammingLanguage

php / /

ProvinceOrState

Vermont / Quebec / Oregon / Pennsylvania / Ontario / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / the Mars Express / Journal of Geophysical Research / /

Technology

RAM / three algorithms / Remote Sensing / three representative algorithms / detection using regular algorithms / kernel-based learning algorithms / three proposed algorithms / naive greedy algorithm / detection algorithms / Machine learning / classification algorithm / image processing / AdaBoost algorithm / three supervised learning algorithms / two algorithms / existing algorithm / three classification algorithms / boosting algorithm / supervised learning algorithm / basic boosting algorithm / two supervised learning algorithms / Boost algorithm / learning algorithms / Naive algorithm / data mining / TL algorithms / Naive algorithms / Vector Machine algorithm / detection algorithm / TL algorithm / /

URL

http /

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