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| Author | Title | Subject | Date | Publication Type | ||
|---|---|---|---|---|---|---|
| 1 |
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Cate, Nolan Randolph | A fully convolutional deep learning approach for using C-Band satellite radar imagery for forest biomass estimation | Geography; Computer science; Biomass; Deep learning; Forestry; Machine learning; Neural networks; SAR | 2019 | thesis |
| 2 |
 |
Machanavajhala, Swetha | Accent classification: learning a distrance metric over phonetic strings | Accent classification; Distance metric learning; Kernels; Machine learning; Speech recognition; Swetha Machanavajhala | 2013-12 | thesis |
| 3 |
 |
Nguyen, Hoa Thanh | Automatic catalog construction for product search engines | Database; Data integration; Deep web; E-commerce; Machine learning; Schema matching | 2011-12 | dissertation |
| 4 |
 |
Pokkunuri, Rama Krishna Sandeep | Exploiting example structure in multiple instance learning | Cutting plane optimization; Machine learning; Multiple instance learning; Structured prediction | 2011-05 | thesis |
| 5 |
 |
Raman, Parasaran | Exploring the landscape of clusterings | Clustering; Data mining; Machine learning; Sampling | 2013-12 | dissertation |
| 6 |
 |
Liu, Ting | Image segmentation with hierarchical models | Connectomics; Electron microscopy; Hierarchical models; Image segmentation; Machine learning; Semi-supervised learning | 2016 | dissertation |
| 7 |
 |
Rai, Piyush | Learning latent structures via bayesian nonparametrics: new models and efficient inference | Bayesian learning; Bayesian nonparametrics; Machine learning | 2013-08 | dissertation |
| 8 |
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Jurrus, Elizabeth | Segmentation of neurons from electron microscopy images | Artificial neural networks; Connectomics; Electron microscopy; Image processing; Machine learning; Segmentation | 2011-08 | dissertation |
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