冷淡一切
发表于 2025-3-30 10:44:33
Jennifer Leger,Esther Bollhöfermapping based graph regulated NMF (EFM GNMF), which combines ELM feature mapping with Graph Regularized Nonnegative Matrix Factorization (GNMF). Experiments on the COIL20 image library, the CMU PIE face database and TDT2 corpus show the efficiency of the proposed method.
轮流
发表于 2025-3-30 15:32:17
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IRATE
发表于 2025-3-30 19:30:52
https://doi.org/10.1007/978-3-8350-9488-8elections by using K-nearest neighbor (KNN) algorithm. A series of experiments and comparisons with other five methods were implemented to validate the feasibility and superiority of this technique for improving the positioning accuracy.
放大
发表于 2025-3-30 21:11:23
Efficient Data Representation Combining with ELM and GNMF,mapping based graph regulated NMF (EFM GNMF), which combines ELM feature mapping with Graph Regularized Nonnegative Matrix Factorization (GNMF). Experiments on the COIL20 image library, the CMU PIE face database and TDT2 corpus show the efficiency of the proposed method.
filial
发表于 2025-3-31 03:32:48
,An Improved Weight Optimization and Cholesky Decomposition Based Regularized Extreme Learning Machihe experiments of COW-RELM algorithm have been conducted on the Breast, Leukemia, Colon, Heart and other gene expression data. The results are thus presented to show the excellent performance and effectiveness of the classification accuracy.