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:对传统SIFT算法从特征点提取时间和匹配精度上进行了优化,基于优化算法提取的特征点对构建
三角网进行小面元微分纠正配准。试验结果表明,该方法是一种有效的遥感影像自动配准方法。
-: SIFT algorithm from the traditional feature extraction time and matching accuracy, and the optimization, optimization algorithm based on the extracted fea
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: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.首先使用SIFT提取目标特征,构
建目标特征库,然后使用基于K维树的特征匹配算法,对实时序列图像提取的SIFT特征与特征库中目标进行精确匹配
-: Based on Scale Invariant Feature Transform (SIFT) feature matching target tracking. The first to use SIFT target feature extraction, featur
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语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别.-Speech signal processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition.
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运用于人脸识别中的特征提取方法：通过稀疏化特征向量（即使一些不重要的特征值为0），来减少运算量-Used in face recognition feature extraction methods: by sparse feature vector (even if some important features of value 0), to reduce the computation
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This peace of code is used for feature extraction
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Many algorithms for PQRST feature extraction have been reported in the literature, especially algorithms for finding the QRS complex [Pahlm and Sornmo, 1984] [Hamilton and Tompkins, 1986]. In this section, only the feature extraction algorithm used i
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用VC++实现关于纹理特征提取的代码（完整）-VC++ code on the integrity of texture feature extraction
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In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. With the weights of the trained neural networks there are created kernel window
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本文的内容是基于红外图像的特征提取，在基于个数判断噪声的中值滤波器进行平滑处理的基础上,提出了一种改进的过渡区
提取方法,并将该方法应用于对比度低、宽谷直方图的复杂背景红外图像的分割。Matlab仿真
实验表明,该方法减少了图像分割的运算量,并能将具有复杂背景的红外图像目标分割得较
好。-This content is based on the infrared image feature extraction, the number of judgments based on th
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SPEECH FEATURE EXTRACTION CODE IN VC++.
COMMOND LINE FILE OPEN
README FILE FOR MORE INFORMATION
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wavelet packages used for extracting ECG feature extraction-wavelet packages used for extracting ECG feature extraction...
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本文提出一种基于高斯- 马尔科夫
随机场模型，首先通过图像采集及激光测距系统，采集大量图像及其相匹配的深度信息图，在
人类视觉系统基础上，提取图像特征，通过训练完善模型，并应用于新采集图像上-This paper presents a Gauss- Markov random field model, first by image acquisition and laser ranging system, collecting a large number of images to ma
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一篇主要介绍使用变量水平集方法进行虹膜分割的文章，之后也有其相应的归一化算法介绍以及特征提取及少部分的虹膜匹配-Introduced a level set method using the variable iris segmentation article, and then there are the corresponding normalization algorithm descr iption and a small number of feature extraction and
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feature extraction for OCR
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A Feature Extraction Model For Assessing the Growth Of Lung Cancer In Computer Aided Diagnosis
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数学模型可以描述为：对于现实世界的一个特定对象，为了一种特定目的，根据特有的内在规律，做出一些必要的简化假设，运用适当的数学工具，得到一个数学结构。在计算机视觉技术研究中，建立特定的数学模型，可以大大简化问题。本文将从图像分割、特征提取、图像识别、三维重构等计算机视觉技术中几个重要方面来论述数学模型的应用。-Mathematical model can be described as: for a particular real-world objects, for a specific pur
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一种脊谷特征艺术风格化软件设计参考工具。-Ridgelet Feature Extraction
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关键词:文本分类 特征降维 规则抽取 模式聚合 粗糙集
-Keywords: text classification feature dimension reduction rule extraction model aggregation rough set
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基于谱鞘度的包络分析方法在滚动轴承故障特征提取中的应用研究-Application of resonance demodulation in the rolling bearing fault feature extraction based on fast computation of the kurtogram
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The aim of the feature extraction stage is pixel characterization by means of a feature vector, a pixel representation in terms of some quantifiable measurements which may be easily used in the classification stage to decide whether pixels belong to
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