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» A Computable Spectral Theorem
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119
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SPIEVIP
2010
15 years 6 months ago
Hyperspectral image segmentation, deblurring, and spectral analysis for material identification
An important aspect of spectral image analysis is identification of materials present in the object or scene being imaged. Enabling technologies include image enhancement, segment...
Fang Li, Michael K. Ng, Robert J. Plemmons, Sudhak...
150
Voted
ICCV
2009
IEEE
16 years 9 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
CVPR
2006
IEEE
16 years 6 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
156
Voted
ICPR
2008
IEEE
16 years 5 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu
101
Voted
ICPR
2008
IEEE
15 years 10 months ago
Spectral aggregation for clustering ensemble
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
Xi Wang, Chunyu Yang, Jie Zhou