Moving toward a learning fuzzy building recognition system
| Autor: | S.P. Levitt, Farzin Aghdasi |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Neuro-fuzzy
business.industry Computer science Active learning (machine learning) Feature extraction Fuzzy set ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Online machine learning Fuzzy control system Machine learning computer.software_genre Fuzzy logic Robot learning Computational learning theory Feature (machine learning) Unsupervised learning Artificial intelligence business computer |
| Zdroj: | KES |
| DOI: | 10.1109/kes.1999.820175 |
| Popis: | The paper motivates and presents a new fuzzy approach to the task of recognizing buildings in monocular greyscale aerial images. We motivate our fuzzy system, FuzzBuRS, by demonstrating that the building recognition task is an approximately formulated problem. We also show that building recognition systems are capable of taking advantage of machine learning techniques and propose learning extensions to our system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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