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机译:基于标签传播的半监督非负矩阵分解用于特征提取
College of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China,School of Mathematics and Statistics, Northeast Normal University, Changchun, China;
College of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China;
College of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China;
College of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China,National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China;
School of Mathematics and Statistics, Northeast Normal University, Changchun, China;
NMF; Feature extraction; Label propagation; LpSNMF; Classification; Clustering;
机译:基于标签传播的非负矩阵分解,半监督多视图学习
机译:标签一致的半监督非负矩阵因式分解,以进行维护活动识别
机译:基于非负矩阵分解的时频特征提取帕金森病预测的语音信号
机译:半监督多标签学习的约束射影非负矩阵分解
机译:改进了基于非负矩阵分解的网格分割算法。
机译:基于局部非负矩阵分解的微表达的新特征提取与识别方法
机译:一种新的植物疾病和昆虫害虫信号的特征提取算法,基于最优小波包和非负矩阵分解