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» Dominant Sets and Hierarchical Clustering
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ICMCS
2010
IEEE
169views Multimedia» more  ICMCS 2010»
13 years 8 months ago
Comparison of clustering approaches for summarizing large populations of images
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...
Yushi Jing, Michele Covell, Henry A. Rowley
ICPR
2008
IEEE
14 years 2 months ago
Beyond partitions: Allowing overlapping groups in pairwise clustering
The field of pairwise clustering is currently dominated by the idea of dividing a set of objects into disjoints classes, thereby giving rise to (hard) partitions of the input dat...
Andrea Torsello, Samuel Rota Bulò, Marcello...
VISUALIZATION
2003
IEEE
14 years 1 months ago
Hierarchical Splatting of Scattered Data
Numerical particle simulations and astronomical observations create huge data sets containing uncorrelated 3D points of varying size. These data sets cannot be visualized interact...
Matthias Hopf, Thomas Ertl
ICASSP
2011
IEEE
12 years 11 months ago
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectra...
Yuliya Tarabalka, James C. Tilton, Jon Atli Benedi...
CVPR
2012
IEEE
11 years 10 months ago
Globally optimal line clustering and vanishing point estimation in Manhattan world
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
Jean Charles Bazin, Yongduek Seo, Cédric De...