## Abstract The primary aim of this work is to propose and investigate the effectiveness of a novel unsupervised tissue clustering and classification algorithm for diffusion tensor MRI (DTI) data. The proposed algorithm utilizes information about the degree of homogeneity of the distribution of dif
β¦ LIBER β¦
A Parametric Copula-Based Framework for Hypothesis Testing Using Heterogeneous Data
β Scribed by Iyengar, S.G.; Varshney, P.K.; Damarla, T.
- Book ID
- 111955041
- Publisher
- IEEE
- Year
- 2011
- Tongue
- English
- Weight
- 361 KB
- Volume
- 59
- Category
- Article
- ISSN
- 1053-587X
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