Shape Descriptors for Classification of Functional Data
| Autor: | Irene Epifanio |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Statistics and Probability
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Independent component analysis Mathematical morphology Field (computer science) Statistical moment Statistics Spatial size distribution Image retrieval Mathematics Curve discrimination business.industry Morphological covariance Applied Mathematics Pattern recognition Covariance Linear discriminant analysis ComputingMethodologies_PATTERNRECOGNITION Computer Science::Computer Vision and Pattern Recognition Modeling and Simulation Artificial intelligence Principal geodesic analysis business Matemàtica |
| Zdroj: | Repositori Universitat Jaume I Universitat Jaume I |
| ISSN: | 1537-2723 0040-1706 |
| DOI: | 10.1198/004017008000000154 |
| Popis: | Curve discrimination is an important task in engineering and other sciences. We propose several shape descriptors for classifying functional data, inspired by form anal- ysis from the image analysis eld: statistical moments, coe cients of the components of independent component analysis (ICA) and two mathematical morphology descrip- tors (morphological covariance and spatial size distributions). They are applied to three problems: an arti cial problem, a speech recognition problem and a biomechan- ical application. Shape descriptors are compared with other methods in the literature, obtaining better or similar performances |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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