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提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果.
-Based on the function connected perceptron neural network tex
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function Invariant_Line_Feature_Matching
___DEscr iptION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : L
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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 in
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sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper:
Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fu
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his a simple method for silence removal and segmentation of audio streams that contain speech. The method is based in two simple audio features (signal energy and spectral centroid). As long as the feature sequences are extracted, as thresholding app
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paper about Feature selection and parameter optimization for support vector machines:
A new approach based on genetic algorithm with feature chromosomes
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Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。-Gabor wavelet transform lacks in its ability to classify the medic
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Support Vector Machines, one of the new techniques for pattern classifi cation, have been widely used in many application areas. The kernel
parameters setting for SVM in a training process impacts on the classifi cation accuracy. Feature
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This a Independent component approach face recognition matlab file of the feature-based approach.-This is a Independent component approach face recognition matlab file of the feature-based approach.
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This paper proposes and evaluates a promising technique
used for liver segmentation that can be used as the first step in
liver treatment planning. It is based on texture feature
analysis obtained from 3D DCT block coefficients, support
vecto
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A digital image watermarking scheme must be robust against a
variety of possible attacks. In the proposed approach, a new
rotation and scaling invariant image watermarking scheme is
proposed based on rotation invariant feature and image
norma
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The application uses the approach introduced in paper Covariance Tracking using Model Update Based on Means on Riemannian Manifolds , F.Porikli, O.Tuzel, P.Meer.
The tracking is based on:
1) initializing the target region
2) constructing the
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本文提出了一种新的识别方法通过建立一个联合
delay-cyclic频率特性决定功能,利用二阶循环的不同特点
累积量的正交频分复用(OFDM)信号和单载波线性数字调制
(SCLD)信号,延时域和循环频率域。-This paper presents a new recognition approach through establishing a joint
delay-cyclic frequency feature decision function, which exploi
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