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» Enabling scalable spectral clustering for image segmentation
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ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
14 years 2 months ago
Incremental spectral clustering and seasons: Appearance-based localization in outdoor environments
— The problem of appearance-based mapping and navigation in outdoor environments is far from trivial. In this paper, an appearance-based topological map, covering a large, mixed ...
Christoffer Valgren, Achim J. Lilienthal
MVA
2000
122views Computer Vision» more  MVA 2000»
13 years 9 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...

Source Code
2231views
15 years 2 months ago
The Berkeley Segmentation Engine (BSE)
The code is a (good, in my opinion) implementation of a segmentation engine based on normalised cuts (a spectral clustering algorithm) and a pixel affinity matrix calculation algor...
Charless Fowlkes
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 12 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
CVPR
2010
IEEE
14 years 4 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...