Theses & Dissertations
 
Filters: Collection: "ir_etd" Subject: "Machine learning"
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AuthorTitleSubjectDatePublication Type
1 Cate, Nolan RandolphA fully convolutional deep learning approach for using C-Band satellite radar imagery for forest biomass estimationGeography; Computer science; Biomass; Deep learning; Forestry; Machine learning; Neural networks; SAR2019thesis
2 Seyedhosseini, MojtabaScene labeling with supervised contextual modelsComputer vision; Connectome; Contextual model; Machine learning; Scene labeling2014-08dissertation
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