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- W2534170602 abstract "Using a geometric analysis of shapes introduced in [E. Klassen, et al., 2003], we present algorithms for: (i) hierarchical clustering of objects according to the shapes of their contours, and (ii) learning of simple probability models on a shape space from a collection of observed contours. We propose a tree (or a hierarchical) structure for clustering observed shapes. Clustering at any level is performed using a modified k-mean algorithm; means of individual clusters provide shapes for clustering at the next higher level. To impose a probability model on the shape space, we use a finite-dimensional Fourier approximation of functions tangent to the shape space at the sample mean. Examples are presented for demonstrating these ideas using shapes from the surrey fish database." @default.
- W2534170602 created "2016-10-28" @default.
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- W2534170602 date "2004-07-08" @default.
- W2534170602 modified "2023-09-23" @default.
- W2534170602 title "A geometric approach to shape clustering and learning'" @default.
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- W2534170602 doi "https://doi.org/10.1109/ssp.2003.1289404" @default.
- W2534170602 hasPublicationYear "2004" @default.
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