In this work, we propose a novel sparse multi-view task-centralized (Sparse-MVTC) classification method for computer-assisted diagnosis of ASD.  This formulates a multi-view multi-task sparse learning problem and it is solved by a novel Sparse-MVTC method.  The comprehensive experiments on the ABIDE database demonstrate that our proposed Sparse-MVTC method can significantly outperform the existing classification methods in ASD diagnosis.
Sparse-MVTC
In this work, we propose a novel sparse multi-view task-centralized (Sparse-MVTC) classification method for computer-assisted diagnosis of ASD.  This formulates a multi-view multi-task sparse learning problem and it is solved by a novel Sparse-MVTC method.  The comprehensive experiments on the ABIDE database demonstrate that our proposed Sparse-MVTC method can significantly outperform the existing classification methods in ASD diagnosis.
Sparse-MVTC
In this work, we propose a novel sparse multi-view task-centralized (Sparse-MVTC) classification method for computer-assisted diagnosis of ASD.  This formulates a multi-view multi-task sparse learning problem and it is solved by a novel Sparse-MVTC method.  The comprehensive experiments on the ABIDE database demonstrate that our proposed Sparse-MVTC method can significantly outperform the existing classification methods in ASD diagnosis.
Sparse-MVTC