recognition algorithm的例句大全

This paper, starting from the video traffic incident detection process, focus on the research of target detection, target tracking, target motion pattern recognition and traffic incident detection algorithm. Firstly, for target detection, Vehicle detection algorithm based on background reconstruction is proposed.

本文从视频交通事件检测流程入手，重点对目标检测、目标跟踪、目标运动模式识别和交通事件检测算法进行研究。首先，运动目标检测方面，提出了基于背景重建的车辆检测算法。

We'll explain its form, feature and its algorithm in the paper. Finally, a graphy by means of RTV and recognition is given.

文章将论述这一方法的形成、特点及算法，最后给出经矢量编码、模式织别后输出的原图。

Then, combined the new null space method with F-LDA ( fractional LDA) algorithm, a completely new feature extraction algorithm for face recognition was given.

然后把这种新的零空间法与F-LDA（Fractional LDA）算法相结合，得到一种对人脸识别更有效的特征提取方法。

Recognition of Maximal Tandem Repeats in Non-Coding Region Based on DC3 Algorithm

基于DC3算法的非编码区序列最大串联重复识别

Fuzzy C means clustering ( FCM) algorithm is a classical fuzzy clustering analysis, the algorithm has been effectively used in data mining, pattern recognition, computer vision and decision support.

模糊C均值聚类（FCM）算法是&种经典的模糊聚类分析方法，该算法已经有效地应用在数据挖掘、模式识别、计算机视觉以及决策支持等领域，具有重要的理论与实际应用价值。

In algorithm ways, Gaussian mixture model ( GMM) is the most successful speaker recognition model at present.

在算法方面，高斯混合模型（GMM）是目前最成功的一种说话人识别模型。

In this method, k-means algorithm is employed for finding the clusters of each class, thus the final recognition results are unstable, not optimal and depend on the initial cluster centers.

然而，由于该方法采用的子类划分方法是k均值聚类算法，因而不能保证最终的识别结果是稳定的、最优的、且依赖聚类初始中心的选择。

This paper proposes a novel text classification algorithm, k nearest feature line algorithm, based on nearest feature line algorithm which is proposed in face recognition.

本文在最近特征线算法的基础上，结合k近邻算法的思想，提出一种k最近特征线文本分类算法。

This algorithm can well be described as the image edge features, with simple computation, little calculation, etc., and compared with LDP based on variance has higher recognition rate.

该算法能够很好的描述图像边缘特征，计算简单、特征向量维数少等优点，而且识别率高于基于方差的LDP特征。

Random Iterated Algorithm for HMMS Based on EM and Selected Application in Biology Sequence Promoter Recognition

基于EM的隐马氏过程随机迭代算法及其在生物序列启动子识别中的应用

The paper brings forward a new image recognition method for pathological changes with morphology theory and SVM algorithm.

提出了一种将形态学理论与SVM（支持向量机）算法结合起来的病变图象特征识别方法。

Algorithm Research on Image Recognition about Welding Seam of Buick Automobile Auxiliary Frame

别克副车架焊缝图像识别算法研究

The "pig face recognition" algorithm developed by JD Digits can correlate the abnormal behaviors of pigs with its growth profile, immune information and real-time physical conditions so that the breeder could be notified in the first place.

由京东数字科技开发的“猪脸识别”算法，可以将猪的异常行为与猪的生长状况、免疫信息和实时生理状况联系起来，从而使育种者能够在第一时间得到通知。

According to the characteristic of ear image and the study of the existing biometrics recognition technology, we try to use a Fisher discriminant analysis algorithm based on kernel function for ear recognition in this paper.

针对人耳图像自身的特点，并通过对现有生物识别技术的研究，本文尝试采用了一种基于核函数的Fisher判别分析算法对人耳进行识别。

A compensative fuzzy classifier based on genetic algorithm wavelet neural network is presented to solve the problem like high-dimensional biometric authentication such as voiceprint and face recognition. The experiment result proved that the classifier could effectively improve the recognition rate comparing to the traditional Back-Propagation neural network.

针对声纹识别和人脸识别等高维的生物特征身份识别问题，本文提出了一种基于遗传小波神经网络的补偿模糊分类器，实验结果表明本分类器比传统的BP神经网络的效果好。

Speaker Recognition Application in Information Course and VQ Algorithm Research

声纹识别的应用与矢量量化算法研究

Research on Voiceprint Recognition and Algorithm of Patten Match

声纹识别系统与模式匹配算法研究

A new algorithm based on the SVM of iris recognition is proposed. Feature is extracted with an appropriate scale wavelet, then SVM is used to match two iris codes.

提出了一种新的基于SVM的虹膜识别算法，通过对虹膜纹理采用小波变换来实现特征提取，最后通过SVM完成模式匹配。

A robust speech recognition system based on discriminative learning of environmental features is proposed for recognition of environmental features in high noise background, and a gradient descent algorithm was adopted for parameters optimization.

介绍了一种环境特征判别学习的Robust语音识别方法，该方法基于最小分类错误准则利用梯度下降法迭代地学习环境特征，实现了高噪声背景下命令语音识别系统。

Experimental results show that, compared with three typical algorithms, this algorithm has higher mean recognition rate and achieves better performance to the variation of carrying condition, clothing and time. 5.

实验表明，与三个典型算法相比，该算法的平均识别率明显更高，尤其在挎包、衣着及时间变化时识别率有大幅提高。