Accordingly, in this paper, we propose a novel hierarchical structured sparse learning method to sufficiently utilize the specificity and complementary�...

Apr 23, 2019 � In this paper, we propose a novel hierarchical structured sparse learning method to sufficiently utilize the specificity and complementary structure�...

In this paper, we propose a novel hierarchical structured sparse learning method to sufficiently utilize the specificity and complementary structure�...

Accordingly, in this paper, we propose a novel hierarchical structured sparse learning method to sufficiently utilize the specificity and complementary�...

Accordingly, in this paper, we propose a novel hierarchical structured sparse learning method to sufficiently utilize the specificity and complementary�...

The proposed method can help preserve the partial group structures among multiple frequency bands and the specific characters in each frequency band. We further�...

Accordingly, in this paper, we propose a novel hierarchical structured sparse learning method to sufficiently utilize the specificity and complementary�...

Jun 9, 2021 � The M3 method is an effective tool to distinguish SZs from HCs, and it can identify discriminative regions to detect SZ to explore the neural mechanisms�...

Specifically, we introduce two regularization terms in the hierarchical framework to impose the common features across different bands and the specificity from�...

17 April 2019 Pages: 25 - 41. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Mingliang Wang; Xiaoke Hao; Mingxia Liu. Original�...