Search - pattern recognition

Search - pattern recognition - List

[Delphi VCL] Ocr DL : 2: Delphi神经网络，模式识别源码 ftmOCR.pas，NeuroOCR.dpr-Delphi neural networks, pattern recognition source ftmOCR.pas, NeuroOCR.dpr
Date : 2026-01-10 Size : 189kb User : someone
[Delphi VCL] cvery.comdel7535899835 DL : 0: 学生成绩管理实现成绩的查询录入多个公司的JAVA面试试题，供 ·模式识别matlab工具箱,包括SV ·文件类型：Visual FoxPro 人 ·struts2.0得例子,主要是实现s ·一个C#多线程的例子。 ·卡尔曼滤波器matlab源代码。 ·很不错的vhdl学习实例几十 ·原版的FAT32手册,E文差的同志 ·常见的JAva面试试题，平时可 ·一个小型C语言编译器 -Student performance management to achieve results in a number of inquiries, the company s entry JAVA interview questions, matlab toolbox for pattern recognition, including the SV file type: Visual FoxPro people have struts2.0 examples, mainly to achieve s a C# Multi-line Cheng example. Kalman filter matlab source code. Very good examples of dozens of learning VHDL FAT32 original manual, E-wen poor Comrade common Java interview questions, usually can be a small C language compiler
Date : 2026-01-10 Size : 2.45mb User : haifei
[Delphi VCL] BP DL : 0: 用BP神经网络进行手写数字的识别,特征提取是基于统计模式识别的方法-BP neural network with the handwritten numeral recognition, feature extraction is based on statistical pattern recognition approach
Date : 2026-01-10 Size : 17kb User : anita
[Delphi VCL] Patern_rec1879814222005 DL : 0: this pattern recognition sorce code if i not wrong-this is pattern recognition sorce code if i not wrong
Date : 2026-01-10 Size : 6kb User : reiko
[Delphi VCL] file-2 DL : 0: Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities has made the transfer of useful generic concepts and methodologies slow to occur. This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.-Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities has made the transfer of useful generic concepts and methodologies slow to occur. This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.
Date : 2026-01-10 Size : 1.1mb User : nadjia
[Delphi VCL] Recognition DL : 0: Pattern recognition using the method of nearest neighbor. Building etalons.
Date : 2026-01-10 Size : 189kb User : Jane
[Delphi VCL] hjvxd DL : 0: High simulation efficiency, Including AHP, factor analysis, regression analysis, cluster analysis, BP neural network function fitting and pattern recognition.
Date : 2026-01-10 Size : 8kb User : tfeaivu