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Numerous style transfer methods which produce artistic styles of portraits have been proposed to date. However, the inverse problem of converting the stylized portraits back into realistic faces is yet to be investigated thoroughly. Reverting an artistic portrait to its original photo- realistic face image has potential to facilitate human perception and identity analysis. In this paper, we propose...
Most of the conventional face hallucination methods assume the input image is sufficiently large and aligned, and all require the input image to be noise-free. Their performance degrades drastically if the input image is tiny, unaligned, and contaminated by noise. In this paper, we introduce a novel transformative discriminative autoencoder to 8X super-resolve unaligned noisy and tiny (16X16) low-resolution...
The safety and reliability of roller bearing always have significant importance in rotating machinery. It is needful to build an efficient and excellent accuracy method to monitoring and diagnosis the baring failure. A novel method is presented in this paper to classify the fault feature by wavelet function and extreme learning machine(ELM) that take into account the high accuracy and efficient. The...
A method is proposed to distinguish patients with schizophrenia from healthy controls based on data measured by functional near-infrared spectroscopy (fNIRS) during a cognitive task, which combines principal component analysis (PCA) and support vector machine (SVM). Firstly, a data reduction technique is applied prior to PCA, and then PCA is used to extract features on oxygenated hemoglobin (oxy-Hb)...
A method is proposed to distinguish patients with depression from healthy persons using data measured by Functional Near Infrared Spectroscopy (FNIRS) during a cognitive task. Firstly, General Linear Model (GLM) is used to extract features from 52-channel FNIRS data of patients with depression and normal healthy persons. Then a Support Vector Machine (SVM) classifier is designed for classification...
Synthetic aperture radar automatic target recognition (SAR ATR) remains a challenging problem in military and civil field. Much work has been done to improve the performance of SAR ATR systems, both in feature extraction and classifier designing. This paper designs a multiple classifier system to solve the target classification problem in the area of SAR ATR. The proposed multiple classifier system...
The problem of large and multifarious business processes and applications with heterogeneous data source have remained in the process of enterprises informatization. Some of these data of applications have their own characteristics and these application systems are difficult to use data from other application systems. These problems are more prominent in the logistics system which involves various...
OFDM system performance is sensitive to frequency offset and timing error than single-carried system. In this paper, a novel joint time and frequency synchronization method is proposed based on PN sequences for OFDM. A special training symbol of OFDM is constructed with the PN sequence and the differentially coded PN sequence in the transmitter, in the receiver, the training symbol is differentially...
Professional synthetic training (PST) is an important part in engineering education. It intends to enhance integrative experiment and designing experiment for students. It covers a wide range of professional courses and overcomes the drawbacks of traditional teaching, such as attention to the experiments of their own independent course and theorems verification. PST course based on working process...
In this paper, a method is presented for connectively analyzing the dynamic factors in physical training by utilizing computers. Through analyzing the training results of a certain triple jumper, the thesis expounds how to build the mathematics models for the connective factors in system and it also presents the detailed procedure by utilizing these models to connectively analyze the dynamic changes...
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