This thesis consists of two projects in the field of machine learning. Previous research in the OSCAR UNT lab based on KMeans color quantization is further developed and applied to individual color channels and segmented input images to explore compression rates while still maintaining high output image quality. The second project implements a small-scale dual path network for image classifiaction utilizing the CIFAR-10 dataset containing 60,000 32x32 pixel images ranging across ten categories.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1944241 |
| Date | 05 1900 |
| Creators | Murrell, Ethan Davis |
| Contributors | Bailey, Colleen, Guturu, Parthasartathy, Namuduri, Kamesh |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Murrell, Ethan Davis, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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