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bp
- 本书涉及的研究方法主要应用于油田生产的实际工作中，包括一般储层参数预测、薄互油藏参数预测、火山岩储层参数预测和储层随机模拟等问题，同时还涉及了石油工业中的油管缺损检测、海底输油管道腐蚀检测等应用问题，对污水处理絮凝过程的智能优化控制及移动机器人的全局和局部路径规划等问题的应用也进行了一定的研究。-Book of research methods involved are mainly used in oil field production of practical work, includi
biosperical
- a bio informatics tool for all local and global alignment check operation
Where-to-look-next
- 我们的眼睛看什么地方？在自然的、主动的视觉中，我们把眼睛移到场景中与任务相关的信息中。实际上视点落在信息最大的地方，即是减小局部不确定性。-How do we decide where to look next? During natural, active vision, we move our eyes to gather task-relevant information from the visual scene.One strategy is to move the eyes to
1_2
- 某些实际问题的优化目标是求所有的局部最优解，即求解多峰寻优问题，为了求解多峰优化问题，提出了改造的微粒 群优化算法．尽量减少微粒群算法中的全局因素，从而增大其局部因素，同时采用变步长方法增加微粒的多样性．并给出了该算法 的原理和步骤．仿真实验表明该算法概念清楚，计算简单，具有很好的局部寻优特性，可应用求解于多峰寻优问题．另外还给出了几 个运算实例和与其它优化算法的比较-Some of the practical problems of optimization goal is
seg-ijcv
- This paper addresses the problem of segmenting an image into regions. We de¯ ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an e±cient segmentation
Learning-Based-License-Plate-Detection-Using-Glob
- Learning-Based License Plate Detection Using Global and Local Features
Face-Question2
- 局部变量可以与全局变量同名，在函数内引用这个变量时，会用到同名的局部变量，而不会用到全局变量。对于有些编译器而言，在同一个函数内可以定义多个同名的局部变量，比如在两个循环体内都定义一个同名的局部变量，而那个局部变量的作用域就在那个循环体内。 -Local variables and global variables of the same name, a reference to the variable in the function, it will use the local variab
A7
- Global and local methods of unsupervised Byesian segmentation of images
SA-TSP
- Simulated Annealing (SA) is the oldest probabilistic meta-heuristic algorithm and one of the first algorithms having ability to avoid being trapped in local minima. It is inspired by the process of annealing in metallurgy. In this process a m
simplefacepro
- Fusion of Low-Computational Global and Local Features For Face Recognition
visual-saliency
- 提出一种利用视觉显著性对图像进行分割的方法。首先提取图像的底层视觉特征，从局部显著性、全局显著性和稀少性3个方面计算各特征图像中各像素的视觉显著性，得到各特征显著图；对各特征显著图进行综合，生 成最终的综合显著图。然后对综合显著图进行阈值分割，得到二值图像，将二值图像与原始图像叠加，将前景和背景分离，得到图像分割结果-It presents a significant advantage of visual image segmentation method. First, extract
SIFT_Matlab_global-context
- SIFT特征检测算法改进，SIFT描述子加入全局向量，对局部信息相似度高的图像检测的误匹配剔除有明显改进-This paper presents a technique for combining global context with local SIFT information to produce a feature descr iptor that is robust to local appearance ambiguity and non-rigid transformation