Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data

Figure 2

The architecture of TensMIL, where U is the feature matrix extracted from the raw data by PARAFAC decomposition, T is the score matrix obtained by performing PCA on U, A is the matrix containing the bag-level features, is the full quadratic regression model, and is the QDA classifier.