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» Enabling scalable spectral clustering for image segmentation
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ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
15 years 8 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»
15 years 3 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
16 years 7 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»
15 years 5 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
15 years 10 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...