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PAMI
1998
88views more  PAMI 1998»
15 years 3 months ago
Large-Scale Parallel Data Clustering
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
Dan Judd, Philip K. McKinley, Anil K. Jain
CVPR
2010
IEEE
15 years 2 months ago
Rectilinear parsing of architecture in urban environment
We propose an approach that parses registered images captured at ground level into architectural units for large-scale city modeling. Each parsed unit has a regularized shape, whi...
Peng Zhao, Tian Fang, Jianxiong Xiao, Honghui Zhan...
CVPR
2011
IEEE
14 years 11 months ago
Submodularity beyond submodular energies: coupling edges in graph cuts
We propose a new family of non-submodular global energy functions that still use submodularity internally to couple edges in a graph cut. We show it is possible to develop an ef...
Stefanie Jegelka, Jeff Bilmes
IJCV
2011
109views more  IJCV 2011»
14 years 11 months ago
Measuring and Predicting Object Importance
How important is a particular object in a photograph of a complex scene? We propose a definition of importance and present two methods for measuring object importance from human o...
Merrielle Spain, Pietro Perona
CVPR
2004
IEEE
16 years 6 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov