Inter-image outliers and their application to image classification

Image variability that is impossible or difficult to restore by intra-image processing, such as the variability caused by occlusions, significantly reduces the performance of image-recognition methods. To address this issue, we propose that the pixels associated with large distances obtained by inter-image pixel-by-pixels comparisons should be considered as inter-image outliers and should be removed from the similarity calculation used for the image classification. When this method is combined with the template-matching method for image recognition, it leads to state-of-the-art recognition performance: 91% with AR database that includes occluded face images, 90% with PUT database that includes pose variations of face images and 100% with EYale B database that includes images with large illumination variation.     

Kinematics, pattern recognition, and motion control of mask-panel alignment system

Kinematics, pattern recognition, and motion control methods are investigated as an integrated approach for a mask-panel visual alignment system, which consists of the vision system to extract the mask-panel misalignment and the stage control system to compensate for it. First, a 4PPR alignment mechanism is considered and the inverse kinematic solution is found out to define the relationship between the mask-panel misalignment and the displacements of active joints. Then, a fast alignment mark recognition algorithm is proposed in terms of the geometric template matching (GTM), which is specific to simply shaped patterns but computationally much efficient compared with general correlation-based matchings. Finally, the kinematic solution and the developed vision algorithm are incorporated to implement a two-stage position-based visual servo, where both original fine images and reduced coarse ones are utilized together and the GTM plays a crucial role in achieving a near real-time visual feedback. Experimental results are shown to demonstrate the effectiveness of the GTM-based two-stage alignment control.     

Expertise and Intuition: A Tale of Three Theories

Several authors have hailed intuition as one of the defining features of expertise. In particular, while disagreeing on almost anything that touches on human cognition and artificial intelligence, Hubert Dreyfus and Herbert Simon agreed on this point. However, the highly influential theories of intuition they proposed differed in major ways, especially with respect to the role given to search and as to whether intuition is holistic or analytic. Both theories suffer from empirical weaknesses. In this paper, we show how, with some additions, a recent theory of expert memory (the template theory) offers a coherent and wide-ranging explanation of intuition in expert behaviour. It is shown that the theory accounts for the key features of intuition: it explains the rapid onset of intuition and its perceptual nature, provides mechanisms for learning, incorporates processes showing how perception is linked to action and emotion, and how experts capture the entirety of a situation. In doing so, the new theory addresses the issues problematic for Dreyfus’s and Simon’s theories. Implications for research and practice are discussed.

构件模板动态实例化技术的研究与应用

本文介绍了构件体系结构下的模板动态实例化技术,该技术将构件模板与补充语义分离处理,引入动态实例化操作,为需求改变的动态配置提供了实用和有效的手段。     

一种改进的基于模板匹配的集装箱字符识别方法

字符识别是计算机模式识别中较为常见的问题,对于印刷体的字符来说,经常采用二值化和模板匹配方法进行识别。在实际应用中,为了提高识别率,减少计算量和运行时间,解决正确识别二值化后的正反不同图象的问题,提出一种改进的自适应的模板匹配方法,理论与实验结果表明具有较高的识别和坚韧性。     

软件内建自测试中模板内容的研究和实现*

软件内建自测试是软件测试和可测性设计研究领域中的一个新概念,其思想来源于硬件内建自测试BIST(BuildinSelfTest)。软件内建自测试为程序员提供一套预先设计好的模板,由模板对所编写的程序植入测试信息,实现软件内建自测试以解决软件测试难的问题。模板是软件内建自测试系统的基石,其内容关系到整个系统的性能和效果。具体讨论了模板的实现,根据软件故障模型对代码进行改装,从而减少程序出错的概率,同时为软件内建自测试系统中测试用例的生成提供了更丰富的信息。     

基于VC++复数模板实现一般复矩阵的奇异值分解运算

Ｖｉｓｕａｌ　Ｃ＋＋以其方便的可视化集成编程环境,高效的代码实现功能,强大的基内库以及兼有低级语言可控制硬件操作的优点,成为一般工程项目的首选软件开发平台。涉及信号处理的实际工程常常需要处理复的数字信号,因此Ｖｉｓｕａｌ　Ｃ＋＋下如何实现复数运算是工程技术中软件开发必须面对的问题。该文详细阐述了ＶｉｓｕａｌＣ＋＋中利用复数模板实现复数运算的方法,给出了一些基本复数运算的实现代码;并基于该方法实现了算法已知的一般复矩阵的奇异值分解（ＣＳＶＤ）运算,很好地满足了实际工程信号处理软件模块的需要,证明了该方法的正确性。发现了 Ｖｉｓｕａｌ　Ｃ＋＋５．０和Ｖｉｓｕａｌ　Ｃ＋＋６．０一个声明的复数模板函数在其标准Ｃ＋＋库中没有具体实现,通过编写同名模板函数解决了这一问题。     

P-F模型的过程复用机制及工具

Ｐ－Ｆ模型是一种利用Ｐｅｔｒｉ Ｎｅｔ与形式化描述相结合描述软件过程的方法。Ｐ－Ｆ模型的模板、模式和元模式概念在不同层次上提供了进行过程复用的方法。模板复用的是过程的内容信息;模式复用的则是过程的结构信息,是更高层的复用;元模式是最小的结构单元,可以设计模式。文章介绍了Ｐ－Ｆ模型中的这三种过程复用方法,及其在Ｐ－Ｆ过程设计工具ＰＳＴｏｏｌｓ中实现的途径。     

基于JdbcTemplate的数据库访问处理

pringJdbcTemplate简化了对数据库的访问处理,详细讨论了JdbcTemplate实现对数据库表格的增、删、改、查询的操作处理方法。分别针对多行数据结果集、单值结果的查询需求,给出相应的JdbcTemplate的不同方法调用。在数据更新处理中,讨论了完整SQL和带参数填充的SQL的方法调用形式。最后,结合文件内容的保存与恢复处理实例,介绍了大容量数据的读写,通过LobCreator对象的setBlobAsBinaryStream方法实现LOB数据的写入,通过LobHandler接口提供的系列方法可获取LOB数据。     

Templated Self‐Assembly of Block Copolymers: Top‐Down Helps Bottom‐Up

One of the key challenges in nanotechnology is to control a self‐assembling system to create a specific structure. Self‐organizing block copolymers offer a rich variety of periodic nanoscale patterns, and researchers have succeeded in finding conditions that lead to very long range order of the domains. However, the array of microdomains typically still contains some uncontrolled defects and lacks global registration and orientation. Recent efforts in templated self‐assembly of block copolymers have demonstrated a promising route to control bottom‐up self‐organization processes through top‐down lithographic templates. The orientation and placement of block‐copolymer domains can be directed by topographically or chemically patterned templates. This templated self‐assembly method provides a path towards the rational design of hierarchical device structures with periodic features that cover several length scales.