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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 10 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
PAMI
2010
112views more  PAMI 2010»
13 years 8 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum
CVPR
2005
IEEE
15 years 3 days ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CVPR
2007
IEEE
15 years 3 days ago
ShadowCuts: Photometric Stereo with Shadows
We present an algorithm for performing Lambertian photometric stereo in the presence of shadows. The algorithm has three novel features. First, a fast graph cuts based method is u...
Manmohan Krishna Chandraker, Sameer Agarwal, David...
EMMCVPR
2009
Springer
14 years 4 months ago
Robust Segmentation by Cutting across a Stack of Gamma Transformed Images
7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Bonn, Germany, August 24-27, 2009 Medical image segmentation appears to be ...
Elena Bernardis, Stella X. Yu