Sciweavers

80 search results - page 2 / 16
» Adaptive Distance Metric Learning for Clustering
Sort
View
100
Voted
ICML
2004
IEEE
16 years 4 months ago
Locally linear metric adaptation for semi-supervised clustering
Hong Chang, Dit-Yan Yeung
110
Voted
TOMCCAP
2010
101views more  TOMCCAP 2010»
15 years 2 months ago
Semi-supervised distance metric learning for collaborative image retrieval and clustering
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
157
Voted
ICMLC
2005
Springer
15 years 9 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung
147
Voted
ICPR
2010
IEEE
15 years 10 months ago
Semi-Supervised Distance Metric Learning by Quadratic Programming
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Hakan Cevikalp
144
Voted
PR
2010
156views more  PR 2010»
15 years 2 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...