一种重复二分CSP4类运动想象脑电信号特征提取算法

针对脑机接口（BCI）系统中4类运动想象的脑电信号ERD/ERS现象进行研究,提出了一种重复二分共同空间模式（RB-CSP）算法用于4类运动想象脑电信号的特征提取,并运用SVM进行分类研究. 实验结果表明,该方法与传统的4分类CSP扩展算法OVR-CSP相比,减小了算法复杂程度,缩短了信号处理时间,提高了准确率,为在线脑机应用提供了一种新的解决方法.      

基于半圆形局部二值模式结构相关性描述子的图像检索

针对传统的结构基元方法缺少对不同量化颜色层中的中心像素点与其潜在邻居的相似性信息描述问题,提出了一种半圆形局部二值模式结构相关性描述子,并将其应用在图像检索中.首先,定义了一种新的半圆形局部二值模式结构基元;其次,检测不同量化颜色层中的结构基元;最后,提取新结构基元的空间分布和对比度特征.相比传统的结构基元方法,提出的描述子检测的结构基元更加丰富,包含更多可能的结构区分性.在不同图像库上的实验结果表明了所提方法的有效性.     

中文文本分类技术比较研究

文本分类中特征选择、权重计算及分类算法三个阶段中都存在一些经典方法,在实际的中文文本分类任务中,如何从各阶段不同方法的组合中找到一个好的组合成为值得研究的问题。比较研究中文文本分类中各阶段经典方法的不同组合对分类效果的影响结果表明:采用CHI特征选择方法、TFIDF权重计算方法及SVM分类方法的组合为最佳组合。     

An Analysis of a Passage from the Stylistic Perspective

The thesis analyzes Churchill＇s Speech on Hitler＇s Invasion upon the USSR from the perspective of stylistics. Through the analysis of grammatical features, lexical features, lexical features, cohesion and context, and figures of speech, the author intends to view the article from a more scientific approach, and at the same time, reveal the important role of linguistic approach in literary evaluation.     

基于视觉注意力模型的FCM法在医学诊断中的应用

基于人类视觉注意模型得到局部视觉显著图,然后以注意焦点初始化聚类中心进行模糊C均值聚类,从而实现图像ROI的提取.实验证明基于图像视觉注意力模型的FCM方法应用于计算机辅助诊断中可以提高医学诊断的有效性和快速性.     

Related‐variables selection in temporal disaggregation

Two related‐variables selection methods for temporal disaggregation are proposed. In the first method, the hypothesis tests for a common feature (cointegration or serial correlation) are first performed. If there is a common feature between observed aggregated series and related variables, the conventional Chow–Lin procedure is applied. In the second method, alternative Chow–Lin disaggregating models with and without related variables are first estimated and the corresponding values of the Bayesian information criterion (BIC) are stored. It is determined on the basis of the selected model whether related variables should be included in the Chow–Lin model. The efficacy of these methods is examined via simulations and empirical applications. Copyright © 2008 John Wiley & Sons, Ltd.     

High speed robust image registration and localization using optimized algorithm and its performances evaluation

Local invariant algorithm applied in downward-looking image registration, usually computes the camera’s pose relative to visual landmarks. Generally, there are three requirements in the process of image registration when using these approaches. First, the algorithm is apt to be influenced by illumination. Second, algorithm should have less computational complexity. Third, the depth information of images needs to be estimated without other sensors. This paper investigates a famous local invariant feature named speeded up robust feature (SURF), and proposes a highspeed and robust image registration and localization algorithm based on it. With supports from feature tracking and pose estimation methods, the proposed algorithm can compute camera poses under different conditions of scale, viewpoint and rotation so as to precisely localize object’s position. At last, the study makes registration experiment by scale invariant feature transform (SIFT), SURF and the proposed algorithm, and designs a method to evaluate their performances. Furthermore, this study makes object retrieval test on remote sensing video. For there is big deformation on remote sensing frames, the registration algorithm absorbs the Kanade-Lucas-Tomasi (KLT) 3-D coplanar calibration feature tracker methods, which can localize interesting targets precisely and efficiently. The experimental results prove that the proposed method has a higher localization speed and lower localization error rate than traditional visual simultaneous localization and mapping (vSLAM) in a period of time.     

英语语调的副语言特征与话语理解

人类交际过程是一个复杂的过程。英语语调是一种副语言形式，不同的语调传递不同的信息和话语意义，表达不同的态度或情感，它具有特殊的交际功能与价值。本文主要探讨英语语调的副语言特征，帮助学生正确理解语调的话语功能，推断话语的真正含义。     

博客的传播模式及特点

博客自2002年传入中国以来,得到迅猛发展,这既有技术上的原因,也与博客的传播模式及特点密不可分。本文从传播学的角度提出博客的传播模式,对博客的传播过程作简洁直观的描述,从而进一步分析博客的传播特点,阐明在网络世界里,博客正扮演更多的角色,改变人们的生活、思想、行为方式,给社会文化带来颠覆性的变化,成为传播学领域里,尤其是网络传播界不可忽视的重要课题。     

一种机械式电表的数字识别方法

在自然光条件下用普通相机拍摄的电表图像，分辨率较低且变形严重，对于不同表盘其数字大小、字形也不同．针对以上问题，提出了一种八方向跟踪找空洞数字识别算法，利用每个字符的空洞和缺口数目对机械式表盘上的数字进行识别．该识别算法无需对数字大小、字形进行归一化．实验表明该找空洞数字识别算法在抗干扰性方面表现良好，有效地降低了算法...