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ECCV
2010
Springer
14 years 6 days ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
DEXA
2010
Springer
156views Database» more  DEXA 2010»
13 years 11 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
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 10 months ago
Efficient incremental constrained clustering
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
Ian Davidson, S. S. Ravi, Martin Ester
CLUSTER
2006
IEEE
14 years 3 months ago
Energy-Aware Duplication Strategies for Scheduling Precedence-Constrained Parallel Tasks on Clusters
Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling precedence-constrained parallel tasks on clusters is challenging because of h...
Ziliang Zong, Adam Manzanares, Brian Stinar, Xiao ...
ICCV
2009
IEEE
15 years 2 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