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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
15 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»
14 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 11 months 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 11 months 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
15 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