Liability 发表于 2025-3-25 05:24:00
http://reply.papertrans.cn/63/6293/629270/629270_21.pngdecode 发表于 2025-3-25 10:40:21
M. Fleute,S. Lavalléearts during 1990s. Academically, those were Good Old Days for Chinese testing experts and psychometricians. Then for certain reasons, the equating practice abruptly discontinued. Therefore, in China nowadays, the application of IRT-based software like BILOG, Parscale, Iteman 4 and others to real tes归功于 发表于 2025-3-25 11:52:37
X. Zeng,L. H. Staib,R. T. Schultz,H. Tagare,L. Win,J. S. Duncanarts during 1990s. Academically, those were Good Old Days for Chinese testing experts and psychometricians. Then for certain reasons, the equating practice abruptly discontinued. Therefore, in China nowadays, the application of IRT-based software like BILOG, Parscale, Iteman 4 and others to real tesmettlesome 发表于 2025-3-25 17:32:50
http://reply.papertrans.cn/63/6293/629270/629270_24.pngfreight 发表于 2025-3-25 23:50:37
http://reply.papertrans.cn/63/6293/629270/629270_25.pngETCH 发表于 2025-3-26 01:07:48
Alexandre Moreau-Gaudry,Philippe Cinquin,Jean-Philippe Baguetn counterparts during 1990s. Academically, those were Good Old Days for Chinese testing experts and psychometricians. Then for certain reasons, the equating practice abruptly discontinued. Therefore, in China nowadays, the application of IRT-based software like BILOG, Parscale, Iteman 4 and others to real tes978-3-642-37591-0978-3-642-37592-7符合国情 发表于 2025-3-26 05:44:56
A Modified Fuzzy C-Means Algorithm for MRI Bias Field Estimation and Adaptive Segmentationtion towards piecewise-homogeneous labeling. Such a regularization is useful in segmenting scans corrupted by salt and pepper noise. Experimental results on both synthetic images and MR data are given to demonstrate the effectiveness and efficiency of the proposed algorithm.incarcerate 发表于 2025-3-26 11:26:21
http://reply.papertrans.cn/63/6293/629270/629270_28.pngHormones 发表于 2025-3-26 15:00:57
http://reply.papertrans.cn/63/6293/629270/629270_29.png偶然 发表于 2025-3-26 18:24:17
Automated Segmentation of Sulcal Regionsng operations. To visualize the buried regions of the segmented cortical surface, an efficient technique for mapping the surface to a sphere is proposed. Preliminary results are presented on the geometric analysis of sulcal regions for automated identification.