Large-Scale Machine Learning in the Earth Sciences
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Published By Chapman And Hall/CRC

9781315371740
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Unmixing Algorithms

2017 ◽  
pp. 131-173
Author(s):  
Uttam Kumar ◽  
Cristina Milesi ◽  
S. Kumar Raja ◽  
Ramakrishna Nemani ◽  
Sangram Ganguly ◽  
...  

Semantic Interoperability of Long-Tail Geoscience Resources over the Web

2017 ◽  
pp. 175-199
Author(s):  
Mostafa M. Elag ◽  
Praveen Kumar ◽  
Luigi Marini ◽  
Scott D. Peckham ◽  
Rui Liu
Keyword(s):  
Semantic Interoperability ◽  
Long Tail ◽  
The Web

Deep Learning for Very High-Resolution Imagery Classification

2017 ◽  
pp. 113-130 ◽  
Author(s):  
Sangram Ganguly ◽  
Saikat Basu ◽  
Ramakrishna Nemani ◽  
Supratik Mukhopadhyay ◽  
Andrew Michaelis ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
High Resolution Imagery ◽  
Very High Resolution Imagery ◽  
Very High

Structured Estimation in High Dimensions

2017 ◽  
pp. 13-32
Author(s):  
André R Goncalves ◽  
Arindam Banerjee ◽  
Vidyashankar Sivakumar ◽  
Soumyadeep Chatterjee
Keyword(s):  
High Dimensions

Large-Scale Machine Learning for Species Distributions

2017 ◽  
pp. 73-93
Author(s):  
Reid A. Johnson ◽  
Jason D. K. Dzurisin ◽  
Nitesh V. Chawla
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Species Distributions
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