Jingjie Yan

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Although 2-D canonical correlation analysis (2DCCA) has been proposed to reduce the computational complexity while reserving local data structure of image, the learned canonical variables of 2DCCA are the linear combination of all the original variables, which makes it hard to interpret the solutions and might have less generality. In this paper, we propose(More)
In WSNs' application, the reduction of energy consumption and the entire network's lifetime should be optimized and feasible communications are must be ensured. All of the above have become to be an important factor to evaluate the performance of routing protocols. In the paper, we present a feasible routing protocol for WSNs in coal mine. Here, we call it(More)
Department of Geography, Minjiang University, Surveying Engineering and Technology Research Center of Fujian Province, Fuzhou 350108, China Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China College of Telecommunications and Information Engineering, Nanjing(More)
OBJECTIVE To investigate the therapeutic effect of reconstruction of facial defects with frontal expanded flaps bipedicled by superficial temple vessels and supraorbital/supratrochlear neurovascular bundles. METHODS From June 2006 to Mar. 2013, the patients with mostly unilateral facial defects which affected temple area and crossed the facial midline,(More)
A novel speech emotion recognition method based on the generalized maximummargin discriminant analysis (GMMDA) method is proposed in this paper. GMMDA is a multi-class extension of our proposed two-class dimensionality reduction method based on maximum margin discriminant analysis (MMDA), which utilizes the normal direction of optimal hyperplane of linear(More)
This paper presents a kinds of information fusion algorithm based on multi-channel color image. The color face image is first separated into three pseudo grayscale images: R, G, and B, then the partial characteristics of face is extracted by use of Gabor wavelet transform from each component to be eigenvector in series connection, which will be through(More)
On single sample condition, current face recognition algorithm yields serious performance drop or even fail to work, therefore a face recognition algorithm based on LGBP and locality preserving discriminant analysis (LPDA) was proposed. Image enhancement and geometric transformation were firstly introduced to single sample face image for face(More)