Description: 胆电解的符号识别与尺寸。欢迎大家交流使用-bulbs electrolysis symbol recognition and size. You are welcome to share Platform: |
Size: 1181319 |
Author:张宾武 |
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Description: 胆电解的符号识别与尺寸。欢迎大家交流使用-bulbs electrolysis symbol recognition and size. You are welcome to share Platform: |
Size: 1180672 |
Author:李成立 |
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Description: 为了提高道路识别的鲁棒性和抗干扰能力 提出了一种道路边缘识别算法 该算法的创新点在于采用自然。边界作为道路识别的依据 同时算法也可以将白色路标作为识别道路边缘的标志-Road recognition in order to improve the robustness and anti-jamming ability of the edge of a road recognition algorithm of the algorithm lies in the innovative use of natural. Border as the basis for road recognition algorithm at the same time can also be a white road signs to identify the edges of the road as a symbol of Platform: |
Size: 275456 |
Author:上官婉儿 |
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Description: 可以实现词法分析器的基本要求，包括字符的识别，运算符号的识别等，算法简单，对学习编译原理有很好的帮助。-Lexical analyzer can achieve the basic requirements, including character recognition, symbol recognition operation, the algorithm is simple, the principle of learning to compile a very good help. Platform: |
Size: 160768 |
Author:liang |
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Description: NetScore - Neural Network using Scaled Conjugate Gradient Algorithm in Optical Character Recognition.
Netscore is an easy to use yet
powerful and intuitive tool to recognize drawn character or symbol using Java.
Feel free to contact me if you have questions.-NetScore- Neural Network using Scaled Conjugate Gradient Algorithm in Optical Character Recognition.
Netscore is an easy to use yet
powerful and intuitive tool to recognize drawn character or symbol using Java.
Feel free to contact me if you have questions. Platform: |
Size: 1598464 |
Author:claire |
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Description: 基于图像识别的整精米自动检测
检测出图中的碎米，并在相应的米粒上打上标志。
对图像进行预处理,把米粒图像变成二值图像,根据区域内部像素的连通性，将不同的区域赋予不同的标记,计算出单个米粒所占的像素
-Based on Image Recognition milled rice automatically detect detect the broken map, and marked with the corresponding symbol on a grain of rice. The image preprocessing, the image into a binary image grain, according to the connectivity within the region pixels will be different in different regions of the mark given to calculate the share of a single grain of rice pixels Platform: |
Size: 1024 |
Author:熊泽 |
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Description: 在草图符号的自适应学习中，不同用户的训练样本数量可能不同，保持在不同样本数量下良好的学习效
果成为需要解决的一个重要问题．提出一种自适应的草图符号识别方法，该方法采用与训练样本个数相关的分类
器组合策略将模板匹配方法和SVM统计分类方法进行了高效组合．它通过利用支持小样本学习的模板匹配方法
和支持大量样本学习的SVM 方法，并同时利用草图符号中的在线信息和离线信息，实现了不同样本个数下自适应
的符号学习和识别．基于该方法，文中设计并实现了支持自适应识别的草图符号组件．最后，利用扩展的PIBG
Toolkit开发出原型系统IdeaNote．评估表明，该方法可以在24类草图符号分别使用1到2O个训练样本时具有较
高的识别正确率和较好的时间性能．-In the sketch symbol adaptive learning, the number of training samples of different users may be different, to keep the number of samples under different good learning effect
Fruit become an important issue to be resolved. The draft plan proposed an adaptive character recognition method using the number associated with the classification of training samples
Combination strategy will be the template matching method and SVM classification method was efficient statistical combination. It supports a small sample study by using a template matching method
And support a large number of samples to learn the SVM method, and sketch symbols while using online information and offline information and achieve a number of different samples of adaptive
Learning and recognition of symbols. Based on this method, the paper designed and implemented to support adaptive sketch recognition symbol components. Finally, using the extended PIBG
Toolkit developed a prototype system IdeaNote. Is shown th Platform: |
Size: 626688 |
Author:郭事业 |
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Description: 。本文在第2 节介绍信号的循环谱特征，并分析噪声对其
的影响；第3 节介绍识别方法；第4 节从仿真试验方面对识
别性能作分析；最后对全文进行了小结。文中部分符号如下：
Fc 为载波频率， Fd 为符号率， Fs 为信号采样频率。-. In this paper, Section 2 describes the cycle of the signal spectrum characteristics, and analyze the noise and the effects identification method introduced in section 3 in section 4 simulation results from an analysis in terms of recognition performance Finally, the paper are summarized. Paper, some of the symbols is as follows: Fc is carrier frequency, Fd for the symbol rate, Fs is sampling frequency. Platform: |
Size: 280576 |
Author:张颖 |
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Description: Symbol recognition with Hopfield Net.
It stores several symbol then tries to recognize corrupted symbol. Platform: |
Size: 113664 |
Author:Dmi |
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Description: Letter recognition with Multilayer Perceptron.
It learns 10 first letters and then tries to recognize drawn symbol. Platform: |
Size: 262144 |
Author:Dmi |
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Description: QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.-As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate. Platform: |
Size: 1319936 |
Author:ljj |
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Description: 基于Hopfield神经网络对符号进行识别。
根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。
-Hopfield neural network based recognition of symbols. Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network. Platform: |
Size: 67584 |
Author:hfy |
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Description: 根据某一LL(1)文法编制调试预测分析程序，以便对任意输入的符号串进行分析。
本次实验的LL(1)文法为表达式文法：
E→E+T | T
T→T*F | F
F→i | (E)
编写识别表达式文法的合法句子的预测分析程序，对输入的任意符号串，给出分析过程及分析结果。分析过程要求输出步骤、分析栈、剩余输入串和所用产生式。如果该符号串不是表达式文法的合法句子，要给出尽量详细的错误提示。-According to an LL (1) grammar analysis of the preparation of commissioning procedures for forecasting , in order to enter any string of symbols to analyze .
The experimental LL (1) grammar for the expression grammar :
E → E+ T | T
T → T* F | F
F → i | (E)
Write a recognition of the legitimate expression grammar sentence prediction analysis program , for any input string of symbols , given the results of the analysis process and analysis . Analysis requires that the output step , analysis of the stack , with the remaining input string and the production . If the string is not an expression grammar symbol lawful sentence , try to give a detailed error message. Platform: |
Size: 7168 |
Author:suhuhu |
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Description: 编写识别表达式拓广文法的合法句子的SLR(1)分析程序，对输入的任意符号串，给出分析过程及分析结果。分析过程要求输出步骤、状态栈、符号栈、输入串和语法动作。如果该符号串不是表达式文法的合法句子，要给出尽量详细的错误提示。-Write a recognition of the legitimate expression of broadening the sentence grammar SLR (1) analysis program , for any input string of symbols , given the results of the analysis process and analysis . Analysis requires that the output step , the state stack , stack symbols , and syntax input string action . If the string is not an expression grammar symbol lawful sentence , try to give a detailed error message. Platform: |
Size: 310272 |
Author:suhuhu |
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Description: 较实用的识别数字符号的实例，神经网络训练，识别手写数字-Identification of a practical instance of digital symbol, neural network training and recognition of handwritten Numbers Platform: |
Size: 5768192 |
Author:王平 |
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Description: sgu262：Symbol Recognition(状压DP)
题目大意：
给出k个n∗ m的01矩阵Si，求出一个1尽量少的n∗ m的01矩阵P，满足k个矩阵与该矩阵的交互不相同，也就是说通过该矩阵能表示出给出的k个矩阵。-262. Symbol Recognition
time limit per test: 0.25 sec.
memory limit per test: 65536 KB
input: standard
output: standard
Consider a monochrome computer monitor with N x M pixels resolution. It can display K symbols. Symbol is a non-empty set of black pixels on the screen. You are to write a program, that computes minimal possible amount of pixels, that are enough to recognize a symbol.
Input
First line of input contains integers N, M, K (1 <= N, M <= 10, 2 <= K <= 6). K blocks follow, separated by empty lines. Each block consists of N rows of M characters. It s a symbols representation on the N x M screen. `1 denotes black pixel, `0 denotes white pixel. You may assume that symbols are unique.
Output
Print on the first line of output the minimal possible amount of pixels that enough to recognize symbol. I.e. you have to find set of pixels that has different color in each pair of symbols. If there are several sets with equal amount of pixels, output any Platform: |
Size: 1024 |
Author:owaski |
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Search - symbol recognition