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» Unsupervised feature selection using a neuro-fuzzy approach
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DAS
2010
Springer
14 years 10 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
DAC
2008
ACM
16 years 21 days ago
Functional test selection based on unsupervised support vector analysis
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...
ICIP
2009
IEEE
16 years 22 days ago
Unsupervised Seabed Segmentation Of Synthetic Aperture Sonar Imagery Via Wavelet Features And Spectral Clustering
An unsupervised seabed segmentation algorithm for synthetic aperture sonar (SAS) imagery is proposed. Each 2 m ? 2 m area of seabed is treated as a unique data point. A set of fea...
ICIP
1998
IEEE
16 years 1 months ago
Adaptive Key Frame Extraction using Unsupervised Clustering
Key frame extraction has been recognized as one of the important research issues in video information retrieval. Although progress has been made in key frame extraction, the exist...
Yueting Zhuang, Yong Rui, Thomas S. Huang, Sharad ...
CVPR
2012
IEEE
13 years 2 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke