DEVELOPMENT OF GAUSSIAN COPULA CLASSIFICATION MODEL WITH SYMBOLIC DATA DISTRIBUTION FUNCTION APPROACH (CASE STUDY: IMAGE CLASSIFICATION)
This dissertation proposes an innovative approach in image classification using Gaussian Copula with symbolic data representation to model images as distributions of pixel intensity and location values. The approach aims to address limitations commonly found in image classification methods that rely...
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| Format: | Dissertations |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/79529 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |