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» Constraint propagation on quadratic constraints
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ICCV
2009
IEEE
14 years 10 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
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
13 years 3 months ago
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Xiangliang Zhang, Wei Wang, Kjetil Nørv&ari...
CI
2004
85views more  CI 2004»
13 years 5 months ago
Soft Constraint Propagation and Solving in Constraint Handling Rules
Soft constraints are a generalization of classical constraints, which allow for the description of preferences rather than strict requirements. In soft constraints, constraints and...
Stefano Bistarelli, Thom W. Frühwirth, Michae...
CP
2000
Springer
13 years 9 months ago
Constraint Propagation for Soft Constraints: Generalization and Termination Conditions
Soft constraints based on semirings are a generalization of classical constraints, where tuples of variables' values in each soft constraint are uniquely associated to element...
Stefano Bistarelli, Rosella Gennari, Francesca Ros...
CP
2003
Springer
13 years 10 months ago
Propagation Redundancy in Redundant Modelling
Combining mutually redundant models with channelling constraints increases constraint propagation. However, the extra computation efforts of the additional variables and constraint...
Chiu Wo Choi, Jimmy Ho-Man Lee, Peter J. Stuckey