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- W50668794 abstract "We develop a machine learning approach to content-based image categorization and retrieval. We represent images by histograms of their spectral components associated with a bank of filters and assume that a training database of labeled images – that contains representative samples from each class – is available. We employ a linear dimension reduction technique, referred to as Optimal Factor Analysis, to identify and split off “optimal” low-dimensional factors of the features to solve a given semantic classification or indexing problem. This content-based categorization technique is used to structure databases of images for retrieval according to the likelihood of each class given a query image." @default.
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- W50668794 date "2007-01-01" @default.
- W50668794 modified "2023-09-23" @default.
- W50668794 title "A LEARNING APPROACH TO CONTENT-BASED IMAGE CATEGORIZATION AND RETRIEVAL" @default.
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- W50668794 doi "https://doi.org/10.5220/0002046700360043" @default.
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