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Hu et al. [4] recently proposed two-dimensional locality preserving projections (2DLPP) for image feature extraction. The 2DLPP was directly based on image matrices rather than vectors and thus obviated the transformation from matrices to vectors as usually performed in LPP. Although the effectiveness of 2DLPP has been shown by experiments, we will show in(More)
BACKGROUND Dysfunctional integration of distributed brain networks is believed to be the cause of schizophrenia, and resting-state functional connectivity analyses of schizophrenia have attracted considerable attention in recent years. Unfortunately, existing functional connectivity analyses of schizophrenia have been mostly limited to linear associations.(More)
Graph-based image segmentation techniques generally represent the problem in terms of a graph. In this work, we present a novel graph, called the directional nearest neighbor graph. The construction principle of this graph is that each node corresponding to a pixel in the image is connected to a fixed number of nearest neighbors measured by color value and(More)