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Raw image data offer rich source of information for matching and classification. For simplicity of pattern recognition system design, a sequential approach consisting of sensing, feature extraction and matching is conventionally adopted where each stage transforms a particular component of information relatively independently. The interaction between these(More)
This paper proposes a new method of feature extraction and recognition, namely, the fuzzy inverse Fisher discriminant analysis (FIFDA) based on the inverse Fisher discriminant criterion and fuzzy set theory. In the proposed method, a membership degree matrix is calculated using FKNN, then the membership degree is incorporated into the definition of the(More)
The aberrant expression of microRNAs (miRNAs) is associated with colorectal carcinogenesis, but the underlying mechanisms are not clear. This study showed that the miRNA-27a (miR-27a) was significantly reduced in colorectal cancer tissues and colorectal cancer cell lines, and that the reduced miR-27a was associated with distant metastasis and colorectal(More)
Epstein-Barr virus (EBV) infection is a major etiological factor for nasopharyngeal carcinoma (NPC). Several EBV-encoded BART miRNAs have been associated with viral latency, immune escape, cell survival, cell proliferation and apoptosis. Here, we report that EBV-miR-BART7-3p, an EBV-encoded BART miRNA highly expressed in NPC, was correlated with cell-cycle(More)
Building successful recommender systems requires uncovering the underlying dimensions that describe the properties of items as well as users' preferences toward them. In domains like clothing recommendation , explaining users' preferences requires mod-eling the visual appearance of the items in question. This makes recommendation especially challenging ,(More)
Passive millimeter-wave image are heavily blurred due to the low-pass filter effect of antenna and the influence of noise. Aimed the problem, an improved method using paritial differential equations applied to passive millimeter-wave image high-resolution is proposed. Based on nonlinear bidirectional Laplace filter algorithm, a new passive millimeter-wave(More)
A Radial Basis Function Neural Network (RBFNN)-aided Extended Kalman Filter (EKF) is designed towards a low cost solid-state integrated navigation system. This system incorporates measurements from an attitude and heading reference system (AHRS) and a GPS, providing unaided, complete and accurate navigation information for land vehicles. To realize the EKF(More)
Maximum margin criterion (MMC) based feature extraction is more efficient than linear discriminant analysis (LDA) for calculating the discriminant vectors since it does not need to calculate the inverse within-class scatter matrix. However, MMC ignores the discriminative information within the local structures of samples and the structural information(More)
Automatic detection of human faces is one of the most dicult problems in pattern recognition. In many practical applications (e.g. personal identi®cation using photo-IDs), face images often have a simple background. In this paper, we propose a new method based on shape information. Our system can be very ecient for images with simple background. Input(More)
The aim of the present study was to investigate the periodontitis-associated changes in the number, proliferation and differentiation potential of human periodontal ligament stem cells (PDLSCs). Cultures of human periodontal ligament cells (PDLCs) were established from healthy donors and donors with periodontitis. The numbers of stem cell were characterized(More)