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Human actions can be represented by the trajectories of skeleton joints. Traditional methods generally model the spatial structure and temporal dynamics of human skeleton with hand-crafted features and recognize human actions by well-designed classifiers. In this paper, considering that recurrent neural network (RNN) can model the long-term contextual(More)
BACKGROUND China is increasingly facing the challenge of control of the growing burden of non-communicable diseases. We assessed the epidemiology of Alzheimer's disease and other forms of dementia in China between 1990, and 2010, to improve estimates of the burden of disease, analyse time trends, and inform health policy decisions relevant to China's(More)
Cross-modal matching has recently drawn much attention due to the widespread existence of multimodal data. It aims to match data from different modalities, and generally involves two basic problems: the measure of relevance and coupled feature selection. Most previous works mainly focus on solving the first problem. In this paper, we propose a novel coupled(More)
The number of patients with intractable epilepsy undergoing surgical management in China is increasing rapidly. We retrospectively reviewed 435 consecutive cases of intractable epilepsy receiving surgical resection from 2005 to 2008 in our hospital, looking specifically at the neuropathological findings. The three most common causes of intractable epilepsy(More)
BACKGROUND An intermediate endpoint is hypothesized to be in the middle of the causal sequence relating an independent variable to a dependent variable. The intermediate variable is also called a surrogate or mediating variable and the corresponding effect is called the mediated, surrogate endpoint, or intermediate endpoint effect. Clinical studies are(More)
Histone acetylation/deacetylation is a crucial mechanism in memory formation and drug addiction. There is evidence suggesting that histone H3 acetylation may contribute to the long-term neural and behavioral responses to addictive drugs. In addition, the basolateral amygdala (BLA) is critically involved in the formation of cue-associated memories. However,(More)
In this paper, we propose a passive image tampering detection method based on modeling edge information. We model the edge image of image chroma component as a finite-state Markov chain and extract low dimensional feature vector from its stationary distribution for tampering detection. The support vector machine (SVM) is utilized as classifier to evaluate(More)
A color image splicing detection method based on gray level co-occurrence matrix (GLCM) of thresholded edge image of image chroma is proposed in this paper. Edge images are generated by subtracting horizontal, vertical, main and minor diagonal pixel values from current pixel values respectively and then thresholded with a predefined threshold T. The GLCMs(More)