What do we learn from binding features? Evidence for multilevel feature integration.

Four experiments were conducted to investigate the relationship between the binding of visual features (as measured by their aftereffects on subsequent binding) and the learning of feature-conjunction probabilities. Both binding and learning effects were obtained, but they did not interact. Interestingly, (shape-color) binding effects disappeared with increasing practice, presumably because of the fact that only 1 of the features involved was relevant to the task. However, this instability was only observed for arbitrary, not highly overlearned combinations of simple geometric features and not for real objects (colored pictures of a banana and strawberry), where binding effects were strong and resistant to practice. These findings suggest that learning has no direct impact on the strength or resistance of bindings or on speed with which features are bound; however, learning does affect the amount of attention particular feature dimensions attract, which again can influence which features are considered in binding. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

电子表格EXCEL5.0在选煤线性规划问题中的应用

采用电子表格软件ＥＸＣＥＬ５．０可以方便地解决许多选煤生产中的线性规划问题。本文通过选煤过程线性规划实例介绍ＥＸＣＥＬ５．０在此领域的应用方法。     

眼球的自动定位

提出了一种由粗到细自动定位人脸的一个重要特征即眼球圆心的方法，该方法综合运用局部二值化，霍夫变换，像纱聚类，边缘提取等技术，对均匀或非均匀光照下拍摄或戴眼镜的照片都能获得很高的定位精度，适用于处理证件照。     

基于运动矢量的视频图象数字水印算法

数字水印技术是近年发展起来的一种用于数字产品版权保护和真伪性论证的新兴技术。与静止图象相比，视频水印技术要满足盲检的要求。本文根据运动矢量的特征值ρl，提出了一种视频图象水印新算法。实验结果表明，所提出的水印算法简单、快速，能满足视频编码的实时性要求；算法与现有的视频压缩标准有很好的兼容性；水印的提取具有盲检功能，无需原图象；水印的嵌入不影响I帧的图象质量，与嵌入水印前的原压缩图象相比，嵌入水印后的视频图象信噪比损失很小。     

Cluster analysis in industrial market segmentation through artificial neural network

Market segmentation has commonly applied cluster analysis. This study intends to make the comparison of conventional two-stage method with proposed two-stage method through the simulated data. The proposed two-stage method is the combination of self-organizing feature maps and K-means method. The simulation results show that the proposed scheme is better than the conventional two-stage method based on the rate of misclassification.     

浅谈抽水蓄能电站的特点及其优越性

本文介绍了国外抽水蓄能电站的发展过程与现状，修建抽水蓄能电站的八大优点。为了改善我省电力系统的运行条件，提出了在我省修建抽水蓄能电站的四点建议。     

灰铸铁石墨形态的研究

文本研究了化学成份与冷却速度及孕育处理对灰铸铁石、墨形态的影响．并对形成的地B、C、D、E、F等六种衣铸铁石墨形态的形成条件作了讨论．     

Successive pattern classification based on test feature classifier and its application to defect image classification

A novel successive learning algorithm based on a Test Feature Classifier is proposed for efficient handling of sequentially provided training data. The fundamental characteristics of the successive learning are considered. In the learning, after recognition of a set of unknown data by a classifier, they are fed into the classifier in order to obtain a modified performance. An efficient algorithm is proposed for the incremental definition of prime tests which are irreducible combinations of features and capable of classifying training patterns into correct classes. Four strategies for addition of training patterns are investigated with respect to their precision and performance using real pattern data. A real-world problem of classification of defects on wafer images has been dealt with by the proposed classifier, obtaining excellent performance even through efficient addition strategies.     

薄层反射波非零炮检距的属性特征

 本文从薄层顶、底界面反射波的走时入手，研究了薄层反射波在非零炮检距集上出现的干涉现象，导出了薄层反射波在出现干涉时的炮检距计算公式，说明薄层干涉出现的炮检距是多变量函数，即随着埋藏深度h、地层速度v、薄层厚度Δh以及地震波的主频f*的变化而改变。本文重点分析了地层厚度Δh和地震子波主频f*对反射波振幅特性和频率特性的影响。在充分分析薄层反射的振幅、频谱随炮检距变化关系的基础上，指出在应用叠前信息（如AVO分析）进行储层预测等方面的研究时，应充分考虑薄层反射波的干涉和调谐现象带来的振幅和频率特征的变化。     

粘土矿物对低渗透储层性质的影响——以鄂尔多斯盆地三叠系低渗透储层为例

粘土矿物是低渗砂岩储层的主要胶结物，对储层物性及开发过程中储层物性变化趋势有着重要的影响和控制作用。另外，粘土矿物也蕴含着大量沉积环境介质的物理化学信息，认识其自然规律，可以有效地指导预测有利储层，认识和改造油层。以鄂尔多斯盆地砂岩储层中的粘土矿物为研究对象，探讨分析粘土矿物对低渗储层性质的影响，该研究对含油气盆地低渗储层有效开发具有一定的参考价值。