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ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
15 years 5 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
IJCNN
2007
IEEE
15 years 5 months ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
Hong Zeng, Yiu-ming Cheung
DL
1999
Springer
154views Digital Library» more  DL 1999»
15 years 3 months ago
SOMLib: A Digital Library System Based on Neural Networks
Digital Libraries have gained tremendous interest with numerous research projects addressing the wealth of challenges in this field. While computational intelligence systems are ...
Andreas Rauber, Dieter Merkl
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 2 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
DICTA
2007
15 years 20 days ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita