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1.
结合Gabor小波变换的特征提取算法提出了一种基于决策模板的多分类支持向量机.该方法在对JAFFE基本表情数据库进行训练并测试时获得了较高的正确率,实验结果表明该方法是一种有效的表情识别算法. 相似文献
2.
声目标识别技术研究 总被引：2，自引：0，他引：2
吕永林 《楚雄师范学院学报》2008,23(3):24-31
本文对声目标识别的关键技术进行研究,探讨用小波分析来进行声信号处理和特征提取,用BP神经网络和支持向量机的模式分类方法来进行分类识别.通过对四种声信号的仿真实验表明,使用小波变换和人工神经网络技术及支持向量机分类技术相结合对声目标进行识别是有效、可行的. 相似文献
3.
This novel method of Pedestrian Tracking using Support Vector (PTSV) proposed for a video surveillance instrument combines the Support Vector Machine (SVM) classifier into an optic-flow based tracker. The traditional method using optical flow tracks objects by minimizing an intensity difference function between successive frames, while PTSV tracks objects by maximizing the SVM classification score. As the SVM classifier for object and non-object is pre-trained, there is need only to classify an image block as object or non-object without having to compare the pixel region of the tracked object in the previous frame. To account for large motions between successive frames we build pyramids from the support vectors and use a coarse-to-fine scan in the classification stage. To accelerate the training of SVM, a Sequential Minimal Optimization Method (SMO) is adopted. The results of using a kernel-PTSV for pedestrian tracking from real time video are shown at the end. Comparative experimental results showed that PTSV improves the reliability of tracking compared to that of traditional tracking method using optical flow. 相似文献
4.
INTRODUCTIONObjecttrackingisachallengingandimpor tanttaskincomputervision .Someofthemorepopularapplicationsincludevideosurveillanceinstrument,roboticcontrol,andautonomousve hicularnavigation .Trackingalgorithmsfindhowanimageregionmovesfromoneframetothenext.Thisimpliestheexistenceofanerrorfunc tiontobeminimized ,suchasthesumofsquareddifferences (SSD)betweenthetwoimagere gions.Thiserrorfunctionistheresultofmakingthe“constantbrightnessassumption” .Yet,quiteoftenweareinterestedintrackinga… 相似文献
5.
INTRODUCTION Support Vector Machine (SVM) is a relativelynew soft computing method based on statisticallearning theory presented by Vapnik (1995). In SVM,original input space is mapped into a high dimen-sional dot product space called feature space in whichthe optimal hyperplane is determined to maximize thegeneralization ability of the classifier. The optimalhyperplane is found by exploiting a branch ofmathematics, called optimization theory, and re-specting the insights provided by … 相似文献
6.
INTRODUCTION Real-time video transport over wireless Internet faces many challenges due to the heterogeneous en- vironment including wireline and wireless networks. Fig.1 shows a typical end-to-end video transport in- volving wireline and wireless networks. The video transport may suffer from many problems such as wireline network congestion and wireless multi-path fading, resulting in high packet loss-rate, and causing severe video quality degradation. To maintain the optimal video quali… 相似文献
7.
Probability output of multi-class support vector machines 总被引：1，自引：0，他引：1
A novel approach to interpret the outputs of multi-class support vector machines is proposed in this paper. Using the geometrical interpretation of the classifying heperplane and the distance of the pattern from the hyperplane, one can calculate the posterior probability in binary classification case. This paper focuses on the probability output in multi-class phase where both the one-against-one and one-against-rest strategies are considered. Experiment on the speaker verification showed that this method has high performance. 相似文献
8.
SVM方法是在统计学习理论的基础上发展起来的一种新的机器学习算法,它是统计学习理论的具体应用．讨论了SVM方法在故障诊断领域中应用的分类算法,并以滚动轴承为例进行了试验论证． 相似文献
9.
林关成 《渭南师范学院学报》2012,(2):83-86
传统的支持向量机分类算法在优化过程中对所有支持向量都进行优化,增加了计算量,降低了训练效率.针对上述缺点,在分析样本模糊隶属关系的基础上,采用改进的K近邻算法为已知样本分配隶属度,根据训练样本的隶属关系,剔除非支持向量,减少训练样本,并将其用于中文网页的分类中,得到了较好的分类效果.仿真实验结果表明,改进后的方法不仅相对简单,而且在保证分类器性能的情况下,能有效地减少支持向量机的训练样本数,从而提高支持向量机的训练和测试速度. 相似文献
10.
提出一种新的红外图像人体检测算法并实现。首先采用灰关联分析理论从单幅红外图像中获取边缘轮廓清晰的人体候选区域,然后融合边缘方向梯度直方图特征、区域密度特征及人体形状特征来描述人体候选区域,以提高区域特征的描述准确性,最后使用支持向量机分类器对目标进行分类,在不同的红外图像测试集中进行实验,结果表明,所提出的算法识别效果良好,并具有一定的鲁棒性。 相似文献
11.
Currently there are two approaches for a multi-class support vector classifier （SVC）. One is to construct and combine several binary classifiers while the other is to directly consider all classes of data in one optimization formulation. For a K-class problem （K〉2）, the first approach has to construct at least K classifiers, and the second approach has to solve a much larger optimization problem proportional to K by the algorithms developed so far. In this paper, following the second approach, we present a novel multi-class large margin classifier （MLMC）. This new machine can solve K-class problems in one optimization formulation without increasing the size of the quadratic programming （QP） problem proportional to K. This property allows us to construct just one classifier with as few variables in the QP problem as possible to classify multi-class data, and we can gain the advantage of speed from it especially when K is large. Our experiments indicate that MLMC almost works as well as （sometimes better than） many other multi-class SVCs for some benchmark data classification problems, and obtains a reasonable performance in face recognition application on the AR face database. 相似文献
12.
为了精确评估个体心理负荷状态,需要获取目标脑电信号数据,脑电信号是评估脑力负荷变化的重要指标。机器学习和神经网络越来越多地用于脑力负荷分类。利用脑电信号特征可在时域和频域中提取突出信息。因此提出一个结合支持向量机（SVM）与超限学习机（ELM）的混合型脑力负荷分类框架。其中支持向量机作为成员分类器,可在高维EEG特征中查找隐藏信息|超限学习机用于融合成员分类器的输出。将ELM-SVM模型与经典脑力负荷分类器进行比较,得出该模型训练精度准确率为1,且测试精度提升0.1个百分点。 相似文献
13.
根据油罐故障分析,建立了油罐故障诊断模型。采用新型的支持向量机-最小二乘向量机(LS-SVM)的算法对此诊断模型进行预测,获得了满意的效果。该方法易于使用,很少受不确定性因素的影响,有很高的预测准确性。 相似文献
14.
INTRODUCTION The popularity of digital images is rapidly in- creasing due to improving digital imaging technolo- gies, and convenient availability facilitated by the Internet. Organizing these images into categories and providing effective indexing is imperative for real- time browsing and retrieval. Typically, existing im- age classification work such as that of Vailaya et al.(2001) follows the paradigm of content-based im- age retrieval (CBIR) technologies, i.e., representing images u… 相似文献
15.
INTRODUCTION Fuel cells have attracted more attention in the last few years due to scarcity of the world energy source. The Proton Exchange Membrane Fuel Cell (PEMFC) is the focus of current development efforts because it is capable of higher power density and faster start-up than other fuel cells (Zhang et al., 2004). Research emphasis is on high power density with adequate energy conversion efficiency. PEMFC performance is related to many factors, among which electrolyte membrane … 相似文献
16.
This paper presents an effective method for motion classification using the surface electromyographic (sEMG) signal collected
from the forearm. Given the nonlinear and time-varying nature of EMG signal, the wavelet packet transform (WPT) is introduced
to extract time-frequency joint information. Then the multi-class classifier based on the least squares support vector machine
(LS-SVM) is constructed and verified in the various motion classification tasks. The results of contrastive experiments show
that different motions can be identified with high accuracy by the presented method. Furthermore, compared with other classifiers
with different features, the performance indicates the potential of the SVM techniques combined with WPT in motion classification. 相似文献
17.
黄国华 《湖南第一师范学报》2011,11(2):133-136
以支持向量机为分类器,序列的k-letter词为特征,建立了原核生物的基因识别模型。分别选取已知功能的基因为正样本,和与等长正样本的随机突变序列为负样本组成训练集。5倍交叉实验的结果表示,对于具有不同核函数的支持向量机以及不同长度的词特征,其预测准确率不同,最高的可达94％以上,最差的低于60％;长度为3的词的特征的分类结果最好,其次是长度为4。这说明3联核苷酸为基因序列比较好的统计特征。 相似文献
18.
LENG Biao QIN Zheng LI Li-qun 《浙江大学学报(A卷英文版)》2007,8(12):1953-1961
In this paper, we present a novel Support Vector Machine active learning algorithm for effective 3D model retrieval using the concept of relevance feedback. The proposed method learns from the most informative objects which are marked by the user, and then creates a boundary separating the relevant models from irrelevant ones. What it needs is only a small number of 3D models labelled by the user. It can grasp the user's semantic knowledge rapidly and accurately. Experimental results showed that the proposed algorithm significantly improves the retrieval effectiveness. Compared with four state-of-the-art query refinement schemes for 3D model retrieval, it provides superior retrieval performance after no more than two rounds of relevance 相似文献
19.
Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification 总被引：2，自引：0，他引：2
YAN Zhi-guo WANG Zhi-zhong REN Xiao-mei 《浙江大学学报(A卷英文版)》2007,8(8):1246-1255
This paper presents an effective and efficient combination of feature extraction and multi-class classifier for motion classification by analyzing the surface electromyografic(sEMG) signals. In contrast to the existing methods,considering the non-stationary and nonlinear characteristics of EMG signals,to get the more separable feature set,we introduce the empirical mode decomposition(EMD) to decompose the original EMG signals into several intrinsic mode functions(IMFs) and then compute the coefficients of autoregressive models of each IMF to form the feature set. Based on the least squares support vector machines(LS-SVMs) ,the multi-class classifier is designed and constructed to classify various motions. The results of contrastive experiments showed that the accuracy of motion recognition is improved with the described classification scheme. Furthermore,compared with other classifiers using different features,the excellent performance indicated the potential of the SVM techniques embedding the EMD-AR kernel in motion classification. 相似文献
20.
Using SVM to construct a Chinese dependency parser 总被引：3，自引：0，他引：3
INTRODUCTION Conventional parsers with practical levels of performance require a number of sophisticated rules that have to be handcrafted by linguists. It is time-consuming and cumbersome to maintain. A lot of rules will generate conflict, so such rules often deteriorate the overall performance of the parser. The stochastic approach, on the other hand, has the po- tential to overcome these difficulties. In the late 1980s and early 1990s, the induction and parameter estima- tion of probab… 相似文献