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首先，你说得对，TPAMI确实主要发CV（计算机视觉）方向的论文。但是说它是AI领域的顶刊，这个说法一点也不为过，原因如下： 1. 历史渊源 TPAMI全称是IEEE Transactions on Pattern Analysis and Machine Intelligence，从名字就能看出来，它关注的是"模式分析"和"机器智能"这两个大方向。这两个方向恰恰是人工智能. Nature Machine Intelligence已经上线近三年了，每年接收文章不到100篇，影响因子达到16.65，不知道该期… PAMI终于中了，前后一共历时17个月TAT。 另外中了ICCV，前后历时半年，ICCV的组织方给人一种不紧不慢的感觉，所有环节（审稿 rebuttal 出poster/oral结果）都比CVPR ECCV要长一点。
3，平均来看，PAMI 的审稿人比会议的专业程度要高不少。 不会出现那种一句话给reject的情况，如果给reject，至少理由很充分和中肯，对下一版本的修改有很强指导意义。 4，最后，个人感觉只要是solid且有亮点的工作，即使放到如此random的今天，也是会有好的去处。 编辑回邮件如下：we have completed the review process of the above referenced paper that was submit… 请问如何获得pami (ieee transactions on pattern analysis and machine intelligence)期刊每一期的目录？
好与不好是看能否解决问题，pami也是看质量。 记得19年的一篇siggraph就是用很简单的方法把icp的计算迭代次数减少为几次，思想也不复杂，也不花哨，但是有效。
国内没有PAMI的计算机视觉实验室值得去读博吗？ 国内985高校某组，每年大概3篇左右CVPR，4篇左右二区IEEE trans，但从没有过PAMI/IJCV等期刊，该组大概什么水平？ CVPR中了，转投哪个期刊好？ 不考虑PAMI 和IJCV? 点云方向的，目前考虑 TNNLS，TMM，TCSVT，Information Fusion，想找个快一点的（一年内能出结果），不知道 TVCG 接不接… 显示全部 关注者 30 在各种统计中，PAMI被认为有着很强的影响因子（2011年影响因子为4.9）和很高的排名。 显然，这个期刊的中稿难度那是相当的大，一般先投中CVPR之后再加点东西投该期刊会比较好中一点。
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