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PAMI
1998
88views more  PAMI 1998»
15 years 6 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 4 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
15 years 1 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»
15 years 1 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 8 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