http://accountingexplained.com/financial/inventories/avco-method   Average Cost (AVCO) Method   Average cost method (AVCO) calculates the cost of ending inventory and cost of goods sold for a period on the basis of weighted average cost per unit of i…

传统的使用窗口的方法缺陷主要在 1.窗口外的像素不能参与匹配判断. 2.在低纹理区域很容易产生错误匹配 论文的主要贡献在代价聚类上(左右图像带匹配点/区域的匹配代价计算),目标是图像内所有点都对该点传递一个support,距离该点较远的或者颜色差别很大的点传递较小的Support. 本文利用MST(最小生成树)来构建这个代价聚类的结构,根据MST结构我们知道,当把图像看做是一个四联通区域的图时,图像两点所形成边的权值我们定义为这两点灰度值的差值,这种定义下生成的MST结构正好符合我们的期望.这一…

怀着很纠结的心情来总结这篇论文,这主要是因为作者提虽然供了源代码,但是我并没有仔细去深究他的code,只是把他的算法加进了自己的项目.希望以后有时间能把MST这一结构自己编程实现!! 论文题目是基于非局部代价聚类(non-local cost aggregation)的立体匹配,从题目上看这篇论文不是局部算法,但是也不是传统意义上的全局算法.这要从基于窗结构局部立体匹配算法说起,如下图: 我们求左右两幅图像在视差d下一点的cost时,我们实际是求得以该点为中心半径为r的Windows内所有点的c…

select  msi1.segment1                   父件编码, msi1.description                  父件描述, msi1.primary_uom_code      父件单位, msi2.segment1                   子件编码, msi2.description                  子件描述, msi2.primary_uom_code      子件单位, bcb.component_quanti…

张宁 A Linear Least Square Initialization Method for 3D Pose Graph Optimization Problem "链接:https://pan.baidu.com/s/1oj_HgQtiiKExACscYuFhJQ 提取码:7xrg" 三维位姿图优化问题的线性最小二乘初始化方法 S. M. Nasiri, H. Moradi, Senior Member, IEEE, R. Hosseini Abstract Pose Gra…

Odoo13将于2019年10月发布,本次发布也包含了大量的改进,例如,对存货核算的重构. 去掉了 产品历史价格product.price.history ,增加了 stock valuation layer 对象,重写了 存货计价的逻辑 具体提交记录如下: [REF] stock_account: standard cost method with valuation layers Valuation of standard move: We introduce _create_in_svl…

catalog . How to Add New Functions to MySQL . Features of the User-Defined Function Interface . User-Defined Function . UDF Argument Processing . UDF Return Values and Error Handling . UDF Compiling and Installing . Adding a New Native Function . UDF…

Cellular Network Time Limit:3000MS     Memory Limit:0KB     64bit IO Format:%lld & %llu Submit Status Practice UVA 1456 A cellular network is a radio network made up of a number of cells each served by a base station located in the cell. The base sta…

Large Scale Visual Recognition Challenge 2015 (ILSVRC2015) Legend: Yellow background = winner in this task according to this metric; authors are willing to reveal the method White background = authors are willing to reveal the method Grey background…

一.聚类: 一般步骤: 1.选择合适的变量 2.缩放数据 3.寻找异常点 4.计算距离 5.选择聚类算法 6.采用一种或多种聚类方法 7.确定类的数目 8.获得最终聚类的解决方案 9.结果可视化 10.解读类 11.验证结果 1.层次聚类分析 案例:采用flexclust的营养数据集作为参考 1.基于5种营养标准的27类鱼,禽,肉的相同点和不同点是什么 2.是否有一种办法把这些食物分成若干各类 1.1计算距离 data(nutrient,package = 'flexclust') head(n…

Week1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We alr…

DAX/PowerBI系列 - 库存总价值(Inventory Value) 欢迎交流与骚扰 难度: ★★☆☆☆(2星) 适用: ★★☆☆☆(2星) 概况: 有多少货(库存)当然重要(对于运营人员),这些货值多少钱当然也十分重要(对于高层管理/财务人员). 一般在每个会计周期结束时,会根据市场售价或者成本价来会评估库存总价值(取低者) . 评估方法有四种:先进先出(FIFO: first-in, first-out),后进先出(LIFO: last-in, first-out),均价(AVCO:…

sklearn实战-乳腺癌细胞数据挖掘(博客主亲自录制视频教程) https://study.163.com/course/introduction.htm?courseId=1005269003&utm_campaign=commission&utm_source=cp-400000000398149&utm_medium=share https://en.wikipedia.org/wiki/Omnibus_test Omnibus tests are a kind of st…

更多来自:   www.vipcoursea.com   Ethics 部分 Objective of codes and standard:永远是为了maintain public trust in 1.Financial market  2.Investment profession 6个code of ethics 1.Code 1—ethics and pertinent d persons a. 2.Code 2---primacy of client’s interest a.Int…

Linear Regression The Normal Equation Computational Complexity 线性回归模型与MSE. the normal equation: a closed-form solution to find the value of θ that minimize the cost function. generate some linear-looking data to test this equation. inv() to compute t…

1. Detecting Performance Issues 2. Scripting Strategies 3. The Benefits of Batching 4. Kickstart Your Art 5. Faster Physics 6. Dynamic Graphics 7. Masterful Memory Management 8. Tactical Tips and Tricks 1. Detecting Performance Issues  The Unity Prof…

网上看到一篇关于灯光的文章,描述的很详细,如下: Lights will bring personality and flavor to your game. You use lights to illuminate the scenes and objects to create the perfect visual mood. Lights can be used to simulate the sun, burning match light, flashlights, gun-fire,…

1. A manufacturing project has a schedule performance index (SPI) of 0.89 and a cost performance index (CPI) of 0.91. Generally, what is the BEST explanation for why this occurred? A. The scope was changed. B. A supplier went out of business and a ne…

Week 1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We al…

来自:<DDI0406C_C_arm_architecture_reference_manual.pdf>p2723 能够查询到:“RAZ RAO WI 等的意思” RAZ:Read-As-Zero 读到的总是0 RAO:Read-As-Oned读到的总是1 WI :Writes Ignoredx 写无效 SBZP:Should-Be-Zero-or-Preserved on writes 写总是0 SBOP : Should-Be-One-or-Preserved on writes. 写总…

@http://www-cs-faculty.stanford.edu/people/karpathy/cvpr2015papers/ CVPR 2015 papers (in nicer format than this) maintained by @karpathy NEW: This year I also embedded the (1,2-gram) tfidf vectors of all papers with t-sne and placed them in an interf…

R 语言实战(第二版) part 4 高级方法 -------------第13章 广义线性模型------------------ #前面分析了线性模型中的回归和方差分析,前提都是假设因变量服从正态分布 #广义线性模型对非正态因变量的分析进行扩展:如类别型变量.计数型变量(非负有限值) #glm函数,对于类别型因变量用logistic回归,计数型因变量用泊松回归 #模型参数估计的推导依据的是最大似然估计(最大可能性估计),而非最小二乘法 #1.logistic回归 library(AER) d…

log4j中文文档  中文详细教程 log4j中文文档   这篇文章描述了Log4j的API.独一无二的特色和设计原理.Log4j是一个聚集了许多作者劳动成果的开源软件项目.它允许开发人眼以任意的粒度输出日志描述信息.它利用外部的配置文件,在运行时是完全可配置的.最厉害的是,log4j有一条平滑的学习曲线.当心:从用户的反馈表明,它是很容易上瘾的. 介绍 几乎每个大型的应用程序都包含有自己的日志记录或跟踪API.与这个原则一致,E.U. SEMPER项目决定写自己的跟踪API.这事发生在1996…

refer to: 机器学习公开课笔记(5):神经网络(Neural Network) CS224d笔记3--神经网络 深度学习与自然语言处理(4)_斯坦福cs224d 大作业测验1与解答 CS224d Problem set 1作业 softmax: def softmax(x): assert len(x.shape) > 1 x -= np.max(x, axis=1, keepdims=True) x = np.exp(x) / np.sum(np.exp(x), axis=1, kee…

I wanted to explore some scenarios that illustrate a few important concepts related to inventory costing-- look at differences between physical and financial inventory, and how this affects inventory values. Please reply to the post if you have quest…

Desert King Time Limit: 3000MS   Memory Limit: 65536K Total Submissions: 21766   Accepted: 6087 Description David the Great has just become the king of a desert country. To win the respect of his people, he decided to build channels all over his coun…

前景分割中一个非常重要的研究方向就是背景减图法,因为背景减图的方法简单,原理容易被想到,且在智能视频监控领域中,摄像机很多情况下是固定的,且背景也是基本不变或者是缓慢变换的,在这种场合背景减图法的应用驱使了其不少科研人员去研究它. 但是背景减图获得前景图像的方法缺点也很多:比如说光照因素,遮挡因素,动态周期背景,且背景非周期背景,且一般情况下我们考虑的是每个像素点之间独立,这对实际应用留下了很大的隐患. 这一小讲主要是讲简单背景减图法和codebook法. 一.简单背景减图法的工作原理. 在视频…

71. Which arithmeticoperations can be performed on a column by using a SQL function that is builtinto Oracle database ?(Choose three .) A. a ddition B. s ubtraction C. r aising to a power D. f inding the quotient E. f inding the lowestvalue Answer: A…

http://poj.org/problem?id=2728 Desert King Time Limit: 3000MS   Memory Limit: 65536K Total Submissions: 18595   Accepted: 5245 Description David the Great has just become the king of a desert country. To win the respect of his people, he decided to b…

In this Document Purpose Details   Scenario 1: Testing the basic item import with minimum columns populated   Scenario 2: To import items and use item templates   Scenario 3: To import items and material cost associated to it.   Scenario 4: To import…