数据预处理，数据压缩，特征选择与特征变换。
Data pre-processing, data reduction, feature selection, and feature transformation.
对于所给的双曲型方程组，经特征变换变成了便于作数值计算的形式。
The form of the equations has been changed with feature transformation so as to calculate conveniently.
提出一种基于尺度不变特征变换（SIFT）特征匹配的目标跟踪方法。
This paper presents a novel object tracking method based on SIFT(scale invariant feature transform) feature matching.
然后利用尺度不变特征变换(SIFT)剔除那些匹配的关键点数目少的子区域。
And Scale Invariant Feature Transform (SIFT) was employed to exclude those sub-regions with smaller matching key points.
提出一种利用尺度不变特征变换(SIFT)特征点实现对抗几何攻击的水印方案。
The image watermark scheme based on Scale Invariant feature Transform (SIFT) feature is proposed for resisting geometric attacks.
油气藏模式识别系统可以提取4类地震特征参数，进行4种地震特征变换，设计3种分类器。
This system can obtain 4 seismic feature parameters, transform 4 seismic features and design 3 classifiers.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
通过改进的SIFT(尺度不变特征变换)算法提出了一种可有效抵抗几何攻击的鲁棒数字水印算法。
An effective against geometric attack robustness of digital watermarking algorithm based on improved SIFT (Scale Invariant Feature Transform) is presented.
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
本方法对坐标和变量作了规格变化，并对方程作了特征变换，与控制方程不作特征变化的方法相比，本方法十分有效。
In this method the variables and the coordinates are normalized and the equations are transformed. The method is very efficient in comparison with that without transforming the governing equations.
首先根据尺度不变特征变换方法从图像中提取关键点作为特征点，然后进行左右双目图像的特征点匹配和视差的恢复。
Then use these feature points for binocular matching thus getting distance information of the scene by the calculation of differences between match points in two images.
摘要 ：改进了传统的尺度不变特征变换（SIFT）算法，使其在进行图像匹配的同时，可以求取出物体的旋转角度。
Abstract : The Scale-invariant Feature Transform(SIFT) algorithm was improved in this paper, which could match two pictures and could also compute the object rotation angles in the pictures.
摘要：针对图像特征提取与匹配的适应性和准确性的问题，本文提出将尺度不变特征变换算法应用到图像特征点提取与匹配。
Abstract: in order to improve the stability and reliability of image matching, this paper applied the scale invariant feature transform algorithm to image matching.
因此，正如你所看到的，变换活动的顺序不会改变流程行为，但可影响流程的自动化特征。
So as you can see switching the order of activities will not change the process behavior but might affect process's automation characteristics.
多方向多尺度变换能以更稀疏的方式表示图像的边缘和纹理等几何特征，有利于图像压缩。
The proposed transform could represent the geometrical features such as edges and texture more sparsely, which is of great benefit to image compression.
特征空间、几何变换、相似性测度以及优化算法是设计医学图象配准方法时要考虑的四个主要因素。
Many investigator explore in the domain. Medical images registration methods have four main factors: features space, geometry transformation, similarity, and optimizing algorithm.
该方法在一定的量化标准下利用小渡变换提取图象的特征信息，通过混沌序列对其加密生成数字水印。
In this method, the original image 's feature is extracted by using wavelet transform and quantization. The feature information is changed into watermark by the chaotic sequence encryption.
通过理论模型和实际资料的试算表明，广义s变换在特征信息提取方面是行之有效的，具有较强的抗干扰能力。
The theoretic model and actual seismic data prove that GST is a feasible and effective method in extracting the characteristic information for its anti-interference ability.
通过将对数极坐标和傅立叶变换结合，完成旋转不变的傅立叶纹理特征提取。
In this paper, we incorporate Fourier transform with Log-Polar transform to achieve rotation invariant texture analysis.
由于小波变换能有效地提取字符的结构特征，自适应共振(art)网络有很好的学习能力。
Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
该文建立了自然图像的小波包分解系数绝对值线性预测模型，提出了基于小波包变换的图像特征形成算法。
In this article, the linear magnitude predictor of wavelet packet decomposition coefficients, the creation algorithm of images characteristics based on wavelet packet transform have been introduced.
特征获取模块对图像轮廓进行变换和量化，形成散列表的入口。
The feature acquisition module transforms and quantizes the image contours and formulates the hash table entries.
以毫米波敏感器在军事中的应用为背景，对毫米波敏感器信号的波形特征进行分析，采用小波变换进行目标信息的特征提取。
On the basis of the applications of MMW sensors to the munitions, this thesis analyses the wave characters of MMW sensors 'signal, use wavelet transform to extract the features of target information.
本文将二者结合起来，用小波变换抽取特征、用自适应共振art网络作模式分类器来识别手写数字。
This paper combines the two aspects to recognize handwritten digits by using wavelet transform to extract feature and Adaptive Resonance Theory (ART) Neural Networks for Classification.
提出了一种应用小波变换提取分类特征的基于支撑矢量机的通信信号调制识别方法。
A new method of modulation identification for communication signals, using wavelet transform to extract characteristics and based on support vector machines (SVM), is proposed.
在深入研究视频图像冗余离散变换特征的基础上，提出一种用于视频编码运动补偿技术的小波域不规则三角形网格构造方法。
This paper discusses the feature of redundant discrete wavelet transform and proposes an irregular triangular mesh design method in wavelet domain for motion compensation in wavelet video codec.
研究k - L变换在字符特征抽取中的应用。
Studying the K-L transformation applied in character features extraction.
从特征值处理和模型补偿两方面考虑，提出了基于高斯混合模型的加权特征补偿变换的抗噪声方法。
Based on feature processing and model compensation, a weighted features compensation transformation method based on GMM for robust speaker verification was proposed.
从特征值处理和模型补偿两方面考虑，提出了基于高斯混合模型的加权特征补偿变换的抗噪声方法。
Based on feature processing and model compensation, a weighted features compensation transformation method based on GMM for robust speaker verification was proposed.
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