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2
- 该文分析了非开挖技术特点、工艺流程、施工设备、管材粘接及安装,认为目前在大规模管网施工的情况下,为了达到最小破坏和最大保护环境的目的,采用非开挖技术施工势在必行。另外,该文还提出了非开挖技术施工中值得注意的问题。-This paper analyzes the trenchless technology characteristics, process, construction equipment, pipe bonding and install that in the case of la
Simulation-visual-mechanism
- 提出一个小波域多尺度马尔柯夫随机场模型用于模拟视觉系统在图像分割中的若干功能。针对人类视觉系统具有特征检测器、等级层次性、双向连续性、学习机制等功能,对输入场景,该模型用小波变换提供该场景图像的稀疏表示,模拟特征检测器功能 用金字塔结构模拟等级层次性 用两类信息流模拟双向连接性,分别刻画自底向上的输入图像特征提取过程以及自顶向下的反馈过程 用迭代过程模拟学习机制 采用多尺度马尔柯夫随机场模型实现图像分割。-Put forward a wavelet domain multi-scale mark
ChinaTelUserLocation
- 目前电信运营中常见的宽带接入方式以IP DsLAM和纯二层LAN接入为主。随着宽带业务急剧增长,在网络规模逐渐扩大的同时,产生了不适应宽带业务发展的瓶颈,其中比较尖锐的就是用户定位识别问题并由此导致了用户及其业务不可控。-Currently, the common telecom operators, broadband access, LAN access to the IP DsLAM and pure two-story main. With the rapid growth of bro
fmis_largescale_deploy
- FMS大规模部署的详细方案,基于3.5,但可用于最新的fm5.0中-The large-scale deployment of the FMS program, based on 3.5, but can be used for the latest fm5.0
denoise
- Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) n
denoise-matlab-new
- Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noi
mymma
- 利用MMA函数求解大规模无约束优化问题 添加了滤子的技巧-A MMA function of solving large scale unconstrained optimization problems added filters skills
TS-exemption
- 掌握在实验室中用脉冲法测量水下目标强度的方法;实测几种简单形状的目 标强度;学习“缩尺法”的实验技巧。-Mastered the method of underwater target strength measured in the laboratory using pulse method measured target strength of several simple shapes learning scale experimental techniques.
Saliency-Scale-image-description
- 这里详细介绍了提取图像内容描述和他们的后续匹配。- extraction of image content descr iptions and their subsequent matching.
eleoperationmanipulator
- 遥操作过程中存在的时间延迟是恶化系统性能,影响系统稳定的根本原因.本文针对通 信环节存在较大时延的多自由度非线性时变遥操作机器人系统,提出了一种改进的非线性双向自 适应力准置混合控制算法:主端自适应控制器通过跟踪从端环境的作用力来提高系统的透明度 从端自适应拉制器在跟踪主手速度和位移的同时,通过本地力反馈的柔顺控制能力保证系统在任 意时延下都处于稳定状态.该算法对操作机器人系统中存在的时延小范围变化、模型参数不确定 及从端环境未知等情况都有较好的普棒性.文章中的稳定性证明及
Visual-field-requirements
- 大规模三维场景绘制,英文版 非常好的入门介绍-Large-scale three-dimensional scenes draw
MSC1210
- MSC1210實現電子秤的設計 (1228kb, pdf)-The MSC1210 Design electronic scale (1228kb, pdf)
1-s2.0-S0167865512002115-gr1
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.
1-s2.0-S0925231210001219-gr2
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.
article-new_ehow_images_a06_ia_4g_input-using-han
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.
handwriting-b
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.
images
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.
chars4
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.
tbjt1175598265
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.
handwriting-c
- Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines.