Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes
β¦ LIBER β¦
Statistical analysis of mammographic features and its classification using support vector machine
β Scribed by M. Muthu Rama Krishnan; Shuvo Banerjee; Chinmay Chakraborty; Chandan Chakraborty; Ajoy K. Ray
- Book ID
- 108130274
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 688 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0957-4174
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