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Record Details

Record 1 of 1
Large-Scale Labeled Datasets to Fuel Earth Science Deep Learning Applications
NTRS Full-Text: Click to View  [PDF Size: 2.5 MB]
Author and Affiliation:
Maskey, Manil(NASA Marshall Space Flight Center, Huntsville, AL, United States)
Ramachandran, Rahul(NASA Marshall Space Flight Center, Huntsville, AL, United States)
Miller, J. J.(Alabama Univ., Huntsville, AL, United States)
Abstract: No abstract available
Publication Date: Dec 11, 2017
Document ID:
20170012155
(Acquired Dec 15, 2017)
Subject Category: EARTH RESOURCES AND REMOTE SENSING; COMPUTER SYSTEMS
Report/Patent Number: MSFC-E-DAA-TN50091
Document Type: Oral/Visual Presentation
Meeting Information: AGU Fall Meeting; 11-15 Dec. 2017; New Orleans, LA; United States
Meeting Sponsor: American Geophysical Union; Washington, DC, United States
Contract/Grant/Task Num: NNM11AA01A
Financial Sponsor: NASA Marshall Space Flight Center; Huntsville, AL, United States
Organization Source: NASA Marshall Space Flight Center; Huntsville, AL, United States
Description: 21p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Public use permitted
NASA Terms: ALGORITHMS; CLIMATOLOGY; DATA SYSTEMS; DATA TRANSFER (COMPUTERS); EARTH SCIENCES; MACHINE LEARNING; TECHNOLOGY TRANSFER; DATA PROCESSING; IMAGE ANALYSIS; LANGUAGE PROGRAMMING; PROGRAMMING LANGUAGES; VOICE DATA PROCESSING; WEATHER FORECASTING
Other Descriptors: DEEP LEARNING; SUPERVISED LEARNING; TRAINING; NEURAL NETWOR
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