Efficient dimensionality reduction and one-class classification for content-based image retrieval
Data(s) |
01/01/2009
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Resumo |
The thesis investigates various machine learning approaches to reducing data dimensionality, and studies the impact of asymmetric data on learning in image retrieval. Efficient algorithms are proposed to reduce the data dimensionality. Integration strategies for one-class classification are designed to address asymmetric data issue and improve retrieval effectiveness. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Faculty of Science and Technology, School of Information Technology |
Palavras-Chave | #Machine learning #Computer algorithms #Database searching #Image processing |
Tipo |
Thesis |