对交通标志图像的红色、蓝色和亮度 3 个通道进行光照归一化处理;在这 3 个通道上提取 Haar-like 特征,构建特征向量;采用 Twin-SVM 方法进行交通标志检测过程的特征训练与验证,采用 Twin-KSVC 方法进行交通标志分类过程的特征训练与验证。实验采用实测数据对算法进行测试与评价,实验结果表明,该方法可以有效地检测和...
心律不齐针对社区医疗技术限制问题,结合采集到的患者心电信息,提出了一种改进最小二乘双子支持向量机的信号诊断方法,并在MIT-BIH数据库中对算法性能和自动诊断识别进行仿真实验.结果表明,基于有向无环图的LS-TWIN-SVM分类算法的计算复杂度最低,且其分类及诊断正确率达到99.32%.说明该算法对深入研究生物信号心电信号...
TwinSVM分类ORL图像数据代码Al**ne 上传3.22 MB 文件格式 zip Twin SVM(双生支持向量机)可以在不降低分类准确率的情况下,有效提高分类速度。点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 基于c++的词法分析器.zip 2025-04-01 18:34:20 积分:1 ...
ReadPaper是深圳学海云帆科技有限公司推出的专业论文阅读平台和学术交流社区,收录近2亿篇论文、近2.7亿位科研论文作者、近3万所高校及研究机构,包括nature、science、cell、pnas、pubmed、arxiv、acl、cvpr等知名期刊会议,涵盖了数学、物理、化学、材料、金融、计算机科
classifiability, and classification using Twin SVM [25]. Experimen- tal results on benchmark datasets show that the proposed approach can yield improvements of nearly 20% over state-of-the-art. We address the problem of optimal feature set selection by using a ...
Specifically, as a great improvement of SVM, twin support vector machine (TWSVM) [12] has been studied extensively. It relaxes the parallel requirement in traditional SVM, and attempts to generate two nonparallel hyperplanes such that each one is closer to its own class and as far as possible...
ReadPaper是深圳学海云帆科技有限公司推出的专业论文阅读平台和学术交流社区,收录近2亿篇论文、近2.7亿位科研论文作者、近3万所高校及研究机构,包括nature、science、cell、pnas、pubmed、arxiv、acl、cvpr等知名期刊会议,涵盖了数学、物理、化学、材料、金融、计算机科
A-reduced-universum-twin-support-vector-machine-for-class-imbalance-learning (RUTSVM-CIL) 是一种用于处理类别不平衡学习问题的支持向量机算法。该算法通过引入“减少的宇宙”概念,利用双支持向量机模型来解决数据集中存在的类别不平衡情况。RUTSVM-CIL 算法通过有效地利用支持向量机的优势和减少宇宙的概念,可以更...
R-CTSVM+: Robust capped L1-norm twin support vector machine with privileged information In the learning using privileged information paradigm, it is the basic assumption that if a small loss in the correcting space on the privileged data can be obtained, then a small loss in the decision space...
The CDFTSVM not only inherits the advantages of twin SVM but also leads to a fast and robust classification results. It is suitable for high dimension and noisy inputs. Usage Instructions In matlab, run demo.m. Visualization Additional Information ...