In addition, we combined SVM with rough set theory, and got rough support vector machine algorithm (RSVM).
此外，将支持向量机与粗糙集理论相结合，得到粗糙支持向量机算法(RSVM)。
The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.
提出了基于损失函数的模糊判决支持向量机算法，并与模糊样本支持向量机算法进行了比较。
In recent years, support vector machine algorithm is widely used on the issue of learning of retrieval function (ranking function) and performs excellently.
近年来，支持向量机算法被广泛地用于检索函数(排位函数)学习问题上且应用性能卓越。
Introducing the novel fuzzy membership model into Adaptive Support Vector Machine (ASVM), we propose an Adaptive fuzzy Support Vector Machine algorithm (AFSVM).
并将新的模糊隶属度模型引入自适应支持向量机，提出了模糊自适应支持向量机算法。
In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.
在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
This paper studies a plane image recognition algorithm based on Support Vector Machine (SVM).
研究了一种基于支持向量机的飞机图像识别算法。
In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine (FSVM) algorithm based on the density clustering (DBSCAN) is proposed.
为了提高模糊支持向量机在数据集上的训练效率，提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。
This paper proposes an algorithm of shot boundary detection, which employs Support Vector Machine (SVM) to classify visual attention features based on the research results of psychology.
借鉴心理学中有关视觉注意的研究成果，提出了一种采用符合人类视觉注意的特征，并利用支持矢量机进行视频镜头边界检测的算法。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.
对大规模训练样本的支持向量机训练问题进行探索，提出了一种基于正交表的并行学习算法。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and high generalization ability.
支持向量机(SVM)是一种基于结构风险最小化原理，具有很好推广性能的学习算法。
Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.
将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。
Aiming at the limitation of the present methods of coal reserves estimation, presented an accurate algorithm for estimation of coal reserves based on support vector machine.
针对目前煤炭储量估计方法的局限性，提出了基于支持向量机的煤炭储量精确算法。
Relevance feedback algorithm based on support vector machine and rough set for image retrieval is approached.
研究基于支持向量机和粗糙集的相关反馈图像检索算法。
To solve the problem that support vector machine(SVM) can only classify the small samples set, a new algorithm which applied SVM to density clustering is proposed.
为了解决支持向量机的分类仅应用于较小样本集的问题，提出了一种密度聚类与支持向量机相结合的分类算法。
A liveness check algorithm based on body temperature measurement model using SVM (support vector machine) is proposed.
提出了一种基于支持向量机体温检测模型的活性判别算法。
To further improve the approximation performance of multiresolution signal approximation (MSA) algorithm, a new MSA algorithm based on support vector machine (SVM), named SVM-MSA is proposed.
为了进一步提升多分辨率信号逼近算法(msa)的逼近性能，提出了一种基于支持向量机(SVM)的信号多分辨率逼近算法(SVM - msa)。
For the support vector machine based learning algorithm of classifier, it is very importance for the support vector to be pre-selected.
在基于支撑矢量机的分类器学习算法中，预先选择支撑矢量是非常重要的。
An algorithm for face detection with fast speed and accurate precision was presented, which integrates facial information and support vector machine.
针对目前人脸检测算法于速度和精度不能兼优的问题，提出了一种基于脸部信息及支持向量机的人脸检测方法。
A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed.
为了有效地进行结构的损伤识别，提出了一种基于支持向量机和粒子群算法的结构损伤识别方法。
The support vector machine based on statistical learning is a new type of machine learning algorithm, which has become the hot spot of academic study because of its excellent learning performance.
基于统计学习理论的支持向量机是一类新型的机器学习算法，由于它出色的学习性能，该技术已经成为当前学术界的研究热点。
As one algorithm of the machine learning based on the statistical learning theory, Support Vector machine (SVM) is specifically to the small samples learning case.
支持向量机是一种基于统计学习理论的机器学习算法，能够较好地解决小样本的学习问题。
Support Vector Machines(SVMs)is an algorithm of machine learning, which was widely used in many fields abroad.
支持向量机是一种机器学习算法，在国外已广泛应用于工程实践领域。
From the perspective of bit plane correlation, this algorithm extracts features, USES support vector machine as a classifier to detect LSB matching.
算法从位平面相关性的角度出发提取特征值，使用支持向量机作为分类器，对LSB匹配算法进行隐写分析。
This paper proposed a selective Support Vector Machine (SVM) ensemble algorithm based on double disturbance to improve the generalization ability of SVM.
为了进一步提升支持向量机泛化性能，提出一种基于双重扰动的选择性支持向量机集成算法。
The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
Based on the support vector machine method, a motion control algorithm for the spherical robot is introduced.
提出了一种基于支持向量机方法的球形机器人运动控制算法。
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