Learning shape and texture progression for young child face aging

Face aging (FA) for young faces refers to rendering the aging faces at target age for an individual, generally under 20s, which is an important topic of facial age analysis. Unlike traditional FA for adults, it is challenging to age children with one deep learning-based FA network, since there are deformations of facial shapes and variations of textural details. To alleviate the deficiency, a unified FA framework for young faces is proposed, which consists of two decoupled networks to apply aging image translation. It explicitly models transformations of geometry and appearance using two components: GD-GAN, which simulates the Geometric Deformation using Generative Adversarial Network; TV-GAN, which simulates the Textural Variations guided by the age-related saliency map. Extensive experiments demonstrate that our method has advantages over the state-of-the-art methods in terms of synthesizing visually plausible images for young faces, as well as preserving the personalized features.     

麻柳场嘉二3储层酸化工艺室内实验研究

储层酸化改造是低渗碳酸盐岩油气藏增产的主要措施之一。由于储层性质不同，改造方案的实施效果差异较大。对麻柳场嘉二^3储层酸化工艺室内实验研究和现场实践发现，胶束酸多级注入酸化-闭合酸化工艺对川南麻柳场嘉陵江组的储层改造行之有效。     

Solving the small sample size problem in face recognition using generalized discriminant analysis

The goal of face recognition is to distinguish persons via their facial images. Each person's images form a cluster, and a new image is recognized by assigning it to the correct cluster. Since the images are very high-dimensional, it is necessary to reduce their dimension. Linear discriminant analysis (LDA) has been shown to be effective at dimension reduction while preserving the cluster structure of the data. It is classically defined as an optimization problem involving covariance matrices that represent the scatter within and between clusters. The requirement that one of these matrices be nonsingular restricts its application to datasets in which the dimension of the data does not exceed the sample size. For face recognition, however, the dimension typically exceeds the number of images in the database, resulting in what is referred to as the small sample size problem. Recently, the applicability of LDA has been extended by using the generalized singular value decomposition (GSVD) to circumvent the nonsingularity requirement, thus making LDA directly applicable to face recognition data. Our experiments confirm that LDA/GSVD solves the small sample size problem very effectively as compared with other current methods.     

基于RDP算法的RAID6实现

正确高效的RAID6算法是RAID6磁盘阵列系统可靠运作的保障,算法的实现效率将直接影响整个系统的性能。笔者首先对RAID6的现有可行算法进行了分析,然后详细介绍了基于RDP算法的RAID6实现,最后用权威的Benchmark对该实现机制做出评估。     

用于非均匀介质重建的选代算法收敛性的研究

研究轴对称二维非均匀介质重建迭代算法的收敛性问题。首先借助于玻恩近似将非线性积分方程线性化，然后，利用玻恩迭代法和变形玻恩迭代法，由散射场数据对轴对称二维非均匀介质进行重建。通过几个例子研究了影响迭代算法收敛性的几种因素，如送代算法本身、积分离散化后的网格划分、正则化方法中的正则化参数选取等。     

基于面像识别技术的公安网上追逃系统

研究了公安网上追逃系统的体系结构和系统的程序流程，阐述了ASP COM 后台比对服务的3层B／S模式面像网上比对的实现方法，最后给出系统的性能指标和特点。     

A Multi-View Face Recognition System

In many automatic face recognition systems,posture constraining is a key factor preventing them from application.In this paper a series of strategies will be described to achieve a system which enables face recognition under varying pose.These approaches include the multi-view face modeling,the threschold image based face feature detection,the affine transformation based face posture normalization and the template matching based face identification.Combining all of these strategies,a face recognition system with the pose invariance is designed successfully,Using a 75MHZ Pentium PC and with a database of 75 individuals,15 images for each person,and 225 test images with various postures,a very good recognition rate of 96.89% is obtained.     

汾河二坝西干渠改建和接通至三坝总干渠工程可行性分析

本文阐述了汾河灌区二、三坝西干渠工程现状，分将了二坝西干渠改建和接通至三坝总干渠工程的必要性、技术可行性、经济可行性，建议该项目及早兴建。