稀疏非负矩阵分解,Sparse NMF英语短句,例句大全

稀疏非负矩阵分解,Sparse NMF
1)Sparse NMF稀疏非负矩阵分解

英文短句/例句

1.Multi-Document Summarization Based on Nonnegative Matrix Factorization基于稀疏非负矩阵分解的自动多文摘方法
2.Time-frequency Spectra Recognition Based on Sparse Non-negative Matrix Factorization and Support Vector Machine基于稀疏性非负矩阵分解和支持向量机的时频图像识别
3.Recognizing Facial Expression with Non-negative Matrix Factorization使用非负矩阵分解方法识别脸部表情
4.Load balancing and communication optimization for parallel sparse matrix-vector multiplication并行稀疏矩阵与向量乘的负载平衡和通信优化
5.A Load-Balancing Algorithm for Sparse Matrix-Vector Multiplication on Parallel Computers并行计算稀疏矩阵乘以向量的负载平衡算法
6.New Scheme for Decomposition of Mixed Pixels Based on Constrained Nonnegative Matrix Factorization基于约束非负矩阵分解的混合象元分解新方法
7.An Algorithm for Reducing the Bandwidth and Profile of an Unsymmetric Sparse Matrix一个缩减非对称稀疏矩阵的带宽和外形的算法
8.Subspace Classifier for Tissue Classification with Gene Microarray Data-A Non-negative Matrix Factorization Approach;基于非负矩阵分解的基因数据子空间分类研究
9.Topic Classification of Chinese Document Based on NMF基于非负矩阵分解的中文文本主题分类
10.Palmprint Recognition Based on Non-Negative Matrix Factorization and General Discriminant Analysis基于非负矩阵分解和广义判别分析的掌纹识别
11.Incremental learning of face recognition based on block non-negative matrix factorization基于分块非负矩阵分解人脸识别增量学习
12.Non-Negative Matrix Factorization Based Off-line Handwriting Identification;基于非负矩阵分解算法的离线笔迹鉴别
13.Information Retrieving Based on Non-Negative Matrix Factorization;基于非负矩阵分解的信息获取方法研究
14.Facial Expression Recognition Studying Based on Non-negative Matrix Factorization;基于非负矩阵分解的人脸表情识别研究
15.A Flow Industrial Process Monitoring Approach Using Non-negative Matrix Factorization基于非负矩阵分解的流程工业过程监控方法
16.Facial Expression Recognition Research Based on Non-negative Matrix Factorization基于非负矩阵分解的面部表情识别研究
17.Removal of Power Line Interference Based on Multi-layer Non-negative Matrix Factorization基于多层非负矩阵分解的工频干扰消除
18.The Symmetric Nonegative Definite Solutions of Linear Matrix Equation XA=B;子矩阵约束下矩阵方程XA=B的对称非负定解

相关短句/例句

NMFs非负矩阵稀疏分解
1.In this paper,a new method is proposed for range profile recognition of radar target based on NMFs-LDA.基于NMFs(非负矩阵稀疏分解)和LDA(线性辨别分析),提出了一种新的雷达目标一维距离像识别方法。
3)SNMF非负稀疏矩阵分解
4)Sparse Non-negative Matrix Factorization稀疏性非负矩阵分解
1.In this paper,the obits identification is treated purely as image recognition,and Sparse Non-negative Matrix Factorization(SNMF)and support vector machine(SVM)are introduced to recognize the obit.本文提出使用稀疏性非负矩阵分解(Sparse Non-negative Matrix Factorization,SNMF)和支持向量机对轴心轨迹图进行识别进而判断机器运行状态的方法,避免了特征选择和提取。
5)sparse matrix decomposition稀疏矩阵分解
6)split coefficient matrix method稀疏矩阵分解法