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» Optimal Correspondences from Pairwise Constraints
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IAT
2009
IEEE
14 years 7 min ago
Clustering with Constrained Similarity Learning
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
Masayuki Okabe, Seiji Yamada
CVPR
2010
IEEE
14 years 2 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain
WEBI
2007
Springer
13 years 11 months ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
PAMI
2006
202views more  PAMI 2006»
13 years 5 months ago
Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
A novel algorithm for pose and motion estimation using corresponding features and a Digital Terrain Map is proposed. Using a Digital Terrain (or Digital Elevation) Map (DTM/DEM) as...
Ronen Lerner, Ehud Rivlin, Héctor Rotstein
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