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ECCV
2000
Springer
14 years 8 months ago
Colour by Correlation in a Three-Dimensional Colour Space
We improve the promising Colour by Correlation method for computational colour constancy by modifying it to work in a three dimensional colour space. The previous version of the al...
Kobus Barnard, Lindsay Martin, Brian V. Funt
COMBINATORICS
2007
55views more  COMBINATORICS 2007»
13 years 6 months ago
Clusters in a Multigraph with Elevated Density
In this paper, we prove that in a multigraph whose density Γ exceeds the maximum vertex degree ∆, the collection of minimal clusters (maximally dense sets of vertices) is cycle...
Mark K. Goldberg
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
14 years 15 days ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 8 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 7 days ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...