publication . Conference object . Part of book or chapter of book . 2008

Unsupervised learning of visual taxonomies

Bart, Evgeniy; Porteous, Ian; Perona, Pietro; Welling, Max;
Open Access
  • Published: 05 Aug 2008
  • Publisher: IEEE
  • Country: United States
Abstract
As more images and categories become available, organizing them becomes crucial. We present a novel statistical method for organizing a collection of images into a tree-shaped hierarchy. The method employs a non-parametric Bayesian model and is completely unsupervised. Each image is associated with a path through a tree. Similar images share initial segments of their paths and therefore have a smaller distance from each other. Each internal node in the hierarchy represents information that is common to images whose paths pass through that node, thus providing a compact image representation. Our experiments show that a disorganized collection of images will be or...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Pattern recognition, Visualization, Hierarchy, Unsupervised learning, Bayesian probability, Image segmentation, Categorization, Histogram, Computer vision, Artificial intelligence, business.industry, business, Bayesian inference, Computer science
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