## Abstract Although on‐line measurements play a vital role in process control and monitoring process performance, they are corrupted by noise and occasional outliers (such as noise spikes). Thus, there is a need to rectify the data by removing outliers and reducing noise effects. Well‐known techni
✦ LIBER ✦
Interactive visual analysis of diffusion-tensor MRI data using the expectation maximization algorithm
✍ Scribed by Jianmin Chen; Andrew Maxwell; Haipeng Cai; Alexander Auchus
- Book ID
- 118468055
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 53 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1552-5260
No coin nor oath required. For personal study only.
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