![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study
This paper proposed a radiomics model from magnetic resonance imaging (MRI) for Glioblastoma Multiforme (GBM) patients. One challenge of radiomics study is to reduce the redundancy of the features. Totally 466...
-
Chapter and Conference Paper
Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions
In this paper, we propose a class of complex non-orthogonal joint diagonalization (NOJD) algorithms with successive rotations. The proposed methods consider LU or LQ decompositions of the mixing matrices, and ...
-
Chapter and Conference Paper
Constrained Complex-Valued ICA without Permutation Ambiguity Based on Negentropy Maximization
Complex independent component analysis (ICA) has found utility in separation of complex-valued signals such as communications, functional magnetic resonance imaging, and frequency-domain speeches. However, per...
-
Chapter and Conference Paper
Speech Separation via Parallel Factor Analysis of Cross-Frequency Covariance Tensor
This paper considers separation of convolutive speech mixtures in frequency-domain within a tensorial framework. By assuming that components associated with neighboring frequency bins of the same source are st...
-
Chapter and Conference Paper
A Semi-blind Complex ICA Algorithm for Extracting a Desired Signal Based on Kurtosis Maximization
Semi-blind independent component analysis (ICA) incorporates some prior information into standard blind ICA, and thus solves some problems of blind ICA as well as provides improved performance. However, semi-b...