Description: 此程序应用于Simulink和PHD 数据库之间的通讯，并能实现实时仿真。打开压缩保中的simulink模型直接就可以运行。-procedure used Simulink and PHD communications between databases, and real-time simulation. Open compression of Bulgaria Simulink model directly on the run. Platform: |
Size: 15360 |
Author:黄勇 |
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Description: 由于Matlab不同于其它编程语言,因此在使用数据库方面和其它语言有显著不同.主要介绍
Matlab中数据库的连接和使用。-Because Matlab is different from other programming languages, so in the use of databases and other languages are markedly different. Mainly Matlab database connection and use. Platform: |
Size: 14336 |
Author:格子 |
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Description: 医学图像配准技术的综述和结束，刚从专业数据库上下载的-Medical Image Registration Technology Review and The End, just download on the major databases Platform: |
Size: 556032 |
Author:陈明 |
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Description: 基于小波变换的图像增强算法,我从专业数据库上下载的，应该有用-Based on wavelet transform image enhancement algorithm, I download on from the major databases, it should be useful Platform: |
Size: 47104 |
Author:陈明 |
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Description: 基于fisherface的人脸图像识别，采用lda降维的方法来识别人脸图像-This package implements a well-known FLD-based face recognition
method, which is called Fisherface [1].
All functions are easy to use, as they are heavy commented.
Furtheremore, a sample script is included to showe their usage.
In general, you should follow this order:
1. Select training and test database paths.
2. Select path of the test image.
3. Run CreateDatabase function to create 2D matrix of all training images.
4. Run FisherfaceCore function to produce basis s of facespace.
5. Run Recognition function to get the name of equivalent image in training database.
For your convenience, I have prepared sample training and test databases, which are parts
of face94 Essex face database [2]. You just need to copy the above functions, along with
the training and test databases into a specified path (for example work path of your
MATLAB root). Then follow dialog boxes, which will appear upon running examp Platform: |
Size: 262144 |
Author:paul |
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Description: 基于FLD的人脸识别系统,使用快速小波变换，效果很好，适合学习-This package implements a well-known FLD-based face recognition method, which is called Fisherface . All functions are easy to use, as they are heavy commented. Furthermore, a sample script and two small training and test databases are included to show their usage. Platform: |
Size: 182272 |
Author:雨 |
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Description: 基于Processed histogram的人脸识别方法，方法简单，识别率高，参考文献“Face Recognition using processed histogram and phase only correlation”-Recognizing objects from large image databases, histogram based methods have proved simplicity and usefulness in last decade. Initially, this idea was based on color histograms that were launched by swain. This algorithm presents the first part of our proposed technique named as “Histogram processed Face Recognition”. Platform: |
Size: 4342784 |
Author:GJ |
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Description: In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition Platform: |
Size: 2048 |
Author:sofi |
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Description: 使用MATLAB进行故障诊断与使用vb进行仿真校正~~里面提供了需要的数据库与数据，不好意思语句解释很少~~小弟也是初学者-Fault diagnosis using the MATLAB simulation corrected with the use of vb ~ ~ which provides the necessary databases and data, I am sorry statement to explain few ~ ~ little brother is also a beginner Platform: |
Size: 15360 |
Author:党瑞德 |
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Description: 基于图像对称性的结构修复，上海交通大学内部数据库提供-Symmetry of the structure based on image restoration, internal databases, Shanghai Jiaotong University Platform: |
Size: 293888 |
Author:stevenyql |
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Description: 这是可在多钟人脸数据库运行的matlab程序，基于ICA,可做学习用-This is a clock face in a multi-run matlab program databases, based on ICA, do learn to use Platform: |
Size: 5120 |
Author:andrew |
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Description: matlab与数据库连接方法，通过ODBC/JDBC 接口访问具体的数据库 。-matlab with the database connection method, via ODBC/JDBC interface to access specific databases Platform: |
Size: 1024 |
Author:纤维 |
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Description: 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do？的ObjectID = 13701＆的objectType =FILE下载。
-The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
split up Sparse Network of Winnows is presented to speed up the
original classifier. Finally, the features and classifier are combined
for the task of frontal face detection. Detection results are presented
for the MIT+CMU and the BioID databases. With regard to this
face detector, the Receiver Operation Characteristics curve for the
BioID database yields the best published result. The result for the
CMU+MIT database is comparable to state-of-the-art face detectors.
A Matlab version of the face detection algorithm can be downloaded
from http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do?objectId=13701&objectType=FILE. Platform: |
Size: 1397760 |
Author:霞 |
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Description: 数据挖掘(Data Mining)阶段首先要确定挖掘的任务或目的。数据挖掘的目的就是得出隐藏在数据中的有价值的信息。数据挖掘是一门涉及面很广的交叉学科，包括器学习、数理统计、神经网络、数据库、模式识别、粗糙集、模糊数学等相关技术。它也常被称为“知识发现”。知识发现(KDD)被认为是从数据中发现有用知识的整个过程。数据挖掘被认为是KDD过程中的一个特定步骤，它用专门算法从数据中抽取模式(patter，如数据分类、聚类、关联规则发现或序列模式发现等。数据挖掘主要步骤是：数据准备、数据挖掘、结果的解释评估。-Data Mining (Data Mining) stage must first determine the mission or purpose of the excavation. The purpose of data mining is to draw valuable information hidden in the data. Data mining is an interdisciplinary involving a wide range, including control study, mathematical statistics, neural networks, databases, pattern recognition, rough sets, fuzzy mathematics and other related technologies. It is also often referred to as the " knowledge discovery" . Knowledge discovery (KDD) is that the whole process is to discover useful knowledge from data. Data mining is a particular step in the KDD process, with a special algorithm (patter, such as data classification, clustering, association rules discovery or sequential pattern discovery. Extracted from the data model and data mining major steps: data preparation, data mining, interpretation of the results evaluated. Platform: |
Size: 12288 |
Author:dlufl |
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Search - databases matlab