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» Clustering with Soft and Group Constraints
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SSPR
2004
Springer
13 years 10 months ago
Clustering with Soft and Group Constraints
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
Martin H. C. Law, Alexander P. Topchy, Anil K. Jai...
DEXA
2010
Springer
156views Database» more  DEXA 2010»
13 years 5 months ago
Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms
Abstract. The problems of finding alternative clusterings and avoiding bias have gained popularity over the last years. In this paper we put the focus on the quality of these alter...
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
CVPR
2012
IEEE
11 years 7 months ago
Bag of textons for image segmentation via soft clustering and convex shift
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...
Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu
CAEPIA
2003
Springer
13 years 10 months ago
Distributed Non-binary Constraints
Nowadays many real problems can be modeled as Constraint Satisfaction Problems (CSPs). In many situations, it is desirable to be able to state both hard constraints and soft constr...
Miguel A. Salido, Federico Barber
COLING
2010
12 years 11 months ago
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
In opinion mining of product reviews, one often wants to produce a summary of opinions based on product features/attributes. However, for the same feature, people can express it w...
Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia