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» Clustering with Soft and Group Constraints
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PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
14 years 23 days ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
CVPR
2010
IEEE
14 years 3 months ago
Naming People from Dialog: Temporal Grouping and Weak Supervision
We address the character identification problem in movies and television videos: assigning names to faces on the screen. Most prior work on person recognition in video assumes s...
Timothee Cour, Benjamin Sapp, Akash Nagle, Ben Tas...
PVLDB
2008
107views more  PVLDB 2008»
13 years 5 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
CVPR
2005
IEEE
14 years 9 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke
TKDE
2012
245views Formal Methods» more  TKDE 2012»
11 years 9 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung