Description: The Matlab functions and scripts in the MA toolbox are:
- ma_sone wav (PCM) to sone (specific loudness sensation)
- ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients)
- ma_sh sone to Spectrum Histogram
- ma_ph sone to Periodicity Histogram
- ma_fp sone to Fluctuation Pattern
- ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering)
- ma_cms cluster models to distance (Cluster Model Similarity)
- ma_kmeans kmeans clustering (used by \"ma_fc\")
- ma_cm_visu visualize a cluster model (as returned by \"ma_fc\")
- ma_simple_eval script for a simple evaluation of similarity measures
- ma_simple_iom script for a simple islands of music interface
-The Matlab functions and scripts in the MA t oolbox are : - ma_sone wav (PCM) to betamethasone ('s specific loudness ensation) - ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients) - ma_sh betamethasone to Sp ectrum Histogram - ma_ph betamethasone to Periodicity Hi stogram - ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering) - ma_cms cl uster models to distance (Cluster Model Simila rity) - ma_kmeans kmeans clustering (used by "m a_fc ") - ma_cm_visu visualize a cluster model ( as returned by "ma_fc") - ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface Platform: |
Size: 24961 |
Author:mesu |
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Description: zhou wang提出的结构相似性图像质量评价算法，是一种全参考的质量评价模式-zhou we analyze the dynamic process of the structural similarity of image quality evaluation algorithm, is a reference to the quality of the whole evaluation model Platform: |
Size: 35931 |
Author:Guo |
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Description: The Matlab functions and scripts in the MA toolbox are:
- ma_sone wav (PCM) to sone (specific loudness sensation)
- ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients)
- ma_sh sone to Spectrum Histogram
- ma_ph sone to Periodicity Histogram
- ma_fp sone to Fluctuation Pattern
- ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering)
- ma_cms cluster models to distance (Cluster Model Similarity)
- ma_kmeans kmeans clustering (used by "ma_fc")
- ma_cm_visu visualize a cluster model (as returned by "ma_fc")
- ma_simple_eval script for a simple evaluation of similarity measures
- ma_simple_iom script for a simple islands of music interface
-The Matlab functions and scripts in the MA t oolbox are :- ma_sone wav (PCM) to betamethasone ('s specific loudness ensation)- ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients)- ma_sh betamethasone to Sp ectrum Histogram- ma_ph betamethasone to Periodicity Hi stogram- ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering)- ma_cms cl uster models to distance (Cluster Model Simila rity)- ma_kmeans kmeans clustering (used by "m a_fc ")- ma_cm_visu visualize a cluster model ( as returned by "ma_fc")- ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface Platform: |
Size: 24576 |
Author:mesu |
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Description: zhou wang提出的结构相似性图像质量评价算法，是一种全参考的质量评价模式-zhou we analyze the dynamic process of the structural similarity of image quality evaluation algorithm, is a reference to the quality of the whole evaluation model Platform: |
Size: 35840 |
Author:Guo |
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Description: 数字图像质量评价量：计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量-Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of Platform: |
Size: 1507328 |
Author:詹双环 |
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Description: 系统根据用户对检索结果的评价，动态构造神经网络，描述图像之间的相似性；图像间的这种相似性以及本次检索结果可以作为以后检索的历史信息保存在神经网络中，从而提高下一次检索的效率。实验表明，该方法嵌入到典型的图像检索系统中，改善了图像检索性能。-System based on user evaluation of search results, dynamic structural neural network, described the similarity between images this similarity between images and the search results can be used as future retrieval of information stored in the history of neural networks, thereby enhancing the under a retrieval efficiency. Experiments show that the method is embedded in a typical image retrieval system, improve the image retrieval performance. Platform: |
Size: 151552 |
Author:焦亚民 |
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Description: 本文介绍了在向量空间模型下, 使用一和一两种不同的相似度评测方法, 来评测查询与文本之间的相关性。-This paper introduces the vector space model, the use of 1 and 12 kinds of different similarity evaluation methods to measure between the query and the text related to each other. Platform: |
Size: 214016 |
Author:Gao |
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Description: 该程序SSIM（结构相似度）是基于matlab平台，用于图像的客观质量评价，是FR中精典算法-The program SSIM (structural similarity) is based on matlab platform for an objective image quality evaluation, is in the classical algorithm FR Platform: |
Size: 2048 |
Author:jian |
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Description: Matlab提供了两种方法进行聚类分析。
一种是利用 clusterdata函数对样本数据进行一次聚类，其缺点为可供用户选择的面较窄，不能更改距离的计算方法；
另一种是分步聚类：（1）找到数据集合中变量两两之间的相似性和非相似性，用pdist函数计算变量之间的距离；（2）用 linkage函数定义变量之间的连接；（3）用 cophenetic函数评价聚类信息；（4）用cluster函数创建聚类。
-Matlab provides two methods of cluster analysis. One is a function of the sample data using clusterdata to conduct a cluster, its disadvantages for the user to select a narrower face and can not change the method of calculating the distance the other is the sub-Buju categories: (1) find a data set variable pairwise similarity between the non-similarity, calculated using pdist function, the distance between variables (2) function definition with the linkage connection between variables (3) with the cophenetic clustering evaluation function, the information (4) with cluster function is to create clustering. Platform: |
Size: 18432 |
Author:梁琨 |
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Description: 提出了基于边缘特征的亚像素投影配准算法,法引入新的图像相似性评价函数 — 均方误差函数(Mean Sequare Er ron ,MSE)-Proposed sub-pixel edge features based projection matching algorithm, France and the introduction of a new image similarity evaluation function- the mean square error function (Mean Sequare Er ron, MSE) Platform: |
Size: 551936 |
Author:姜珊珊 |
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Description: 基于结构信息提取的图像质量评价构相似性理论是一种关于图像质量评价的新思想．与自底向上地模拟人眼视觉系统(HVS)低阶的组
成结构不同，结构相似性理论自顶向下地模拟HVS的整体功能．-Theory is a kind of image quality evaluation about the new thoughts. And the simulation of human visual system (HVS) low-level group
Into different structure, the structural similarity theory from the top down to simulate the function of the HVS. Platform: |
Size: 416768 |
Author:抓党建 |
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Description: Generates the values in a ROC curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.) Platform: |
Size: 1024 |
Author:B |
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Description: K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大。这是一本介绍K-means算法的英文书籍
-K-means algorithm is very typical distance-based clustering algorithm, using distance as the similarity evaluation, that the closer the two objects, the greater the similarity. This is an English book introduces K-means algorithm Platform: |
Size: 779264 |
Author: |
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Description: 基于matlab的SSIM图像相似度评价算法实现-Matlab based on the the SSIM image similarity evaluation algorithm implementation Platform: |
Size: 2048 |
Author:臧彧 |
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Description: 该matlab代码主要用于计算图像的边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。- calculate the uation average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation. Platform: |
Size: 9216 |
Author:李伟 |
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Description: 这是有关语音相似度评价的一篇论文，目前专著于此类的研究相对较少。-This is the voice of a paper about the similarity uation, currently relatively few monographs on such research. Platform: |
Size: 5281792 |
Author:csm |
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Description: 图像的相似度评价代码，可用于评价自然图像的相似度，进而用于人脸识别，自然图像识别等。-Similarity Evaluation code image can be used to uate the similarity of natural images, and thus for face recognition, image recognition, and natural. Platform: |
Size: 136192 |
Author:龚飞 |
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Description: K-means算法是集简单和经典于一身的基于距离的聚类算法
采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大。
该算法认为类簇是由距离靠近的对象组成的，因此把得到紧凑且独立的簇作为最终目标。(K-means algorithm is a distance based clustering algorithm which is simple and classic.
Distance is used as a similarity evaluation index, that is, the closer the distance between the two objects is, the greater the similarity is.
The algorithm considers that clusters are composed of objects close to each other. Therefore, a compact and independent cluster is the ultimate goal.) Platform: |
Size: 6144 |
Author:What111 |
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Search - similarity evaluation