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bayesfunction
- bayeserr - Computes the Bayesian risk for optimal classifier. ％ bayescln - Classifier based on Bayes decision rule for Gaussians. ％ bayesnd - Discrim. function, dichotomy, max aposteriori probability. ％ bhattach -
Microsoft-Programmin-Microsoft-DirectShow-for-Digi
- A book is rarely written alone although a title might have one author, there are a host of midwives who help it into being. First and foremost, thanks go to the Microsoft DirectShow team, who created this technology, and
bayesfunction
- bayeserr - Computes the Bayesian risk for optimal classifier. ％ bayescln - Classifier based on Bayes decision rule for Gaussians. ％ bayesnd - Discrim. function, dichotomy, max aposteriori probability. ％ bhattach -
Microsoft-Programmin-Microsoft-DirectShow-for-Digi
- A book is rarely written alone although a title might have one author, there are a host of midwives who help it into being. First and foremost, thanks go to the Microsoft DirectShow team, who created this technology, and
particle-filter-for-tracking
- A simple example showing how to track an object with particle filter. Likelihood is based on Bhattacharya distance of color histogram.
matlab
- bhattacharya cofficient is used to in canny edge detector
bhattacharya-coefficient
- bhattacharya coefficient is used to track matched template in consecutive fr a mes