<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Knight_ZJY的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Knight_ZJY</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Knight_ZJY]]></copyright><item><title><![CDATA[FreeRTOS线程卡死]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/138467902</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/138467902</guid><author>Knight_ZJY</author><pubDate>Sun, 05 May 2024 15:50:12 +0800</pubDate><description><![CDATA[时间：2024/5/5。]]></description><category></category></item><item><title><![CDATA[windows下MSYS报错：(unable to lock database)的解决方法]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/137467692</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/137467692</guid><author>Knight_ZJY</author><pubDate>Sun, 07 Apr 2024 16:11:43 +0800</pubDate><description><![CDATA[但是，按照网上的教程，去删除db.lck文件，却发现/var/lib/pacman/db.lck文件是不存在的。在安装MSYS2时，使用pascman -Syu会报无法锁定数据库的问题。解决方法：使用管理员权限运行MSYS2.exe。]]></description><category></category></item><item><title><![CDATA[Attention-Challenging Multiple Instance Learning for Whole Slide Image（ACMIL）]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/135079866</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/135079866</guid><author>Knight_ZJY</author><pubDate>Tue, 19 Dec 2023 11:18:51 +0800</pubDate><description><![CDATA[Attention-Challenging Multiple Instance Learning for Whole Slide Image 针对领域：MIL的过拟合现有问题：当前的MIL方法只关注预测实例的子集，阻碍了有效的模型泛化ACMIL：迫使注意力机制捕捉更具挑战性的预测实例。算法构成：多分支注意力（MBA）来捕获更丰富的预测实例随机TopK实例掩蔽（STKIM）来抑制简单的预测实例。实验：三个WSI数据集的评估优于最先进的方法。]]></description><category></category></item><item><title><![CDATA[Multiple instance learning with bag dissimilarities]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/131666626</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/131666626</guid><author>Knight_ZJY</author><pubDate>Tue, 11 Jul 2023 18:29:25 +0800</pubDate><description><![CDATA[以往方法：专门的MIL方法通过对袋标签和实例标签之间的关系做出额外的假设来学习。(实例级方法)存在问题：可能适合特定的数据集，但不能推广到MIL问题的整个范围。当前解决方法：将假设的重点从标签转移到袋子的整体(非)相似性上，直接从袋子中学习。（包级方法）本文解决方法：建议用训练集中每个包与其他包的不同之处的向量来表示每个包，并将这些不同之处视为特征表示。贡献：展示了几种定义包之间不相似性的替代方法，并讨论了哪些定义更适合特定的MIL问题。]]></description><category></category></item><item><title><![CDATA[Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/131624821</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/131624821</guid><author>Knight_ZJY</author><pubDate>Sun, 09 Jul 2023 17:05:06 +0800</pubDate><description><![CDATA[存在问题：以往的多实例学习研究通常将袋中的实例视为独立同分布的。然而，在实际任务中，包中的实例很少是独立的。忽略了实例之间的关系传递重要的结构信息这一事实。解决思路：利用实例之间关系，如果在Non-I.I.D.中处理实例，则可以期望获得更好的性能。解决方法：第一种：我们显式地将每个袋映射到一个无向图上，并设计一个图核来区分正负袋。第二种：通过推导亲和矩阵来隐式构造图，并提出一个考虑团信息的高效图核。]]></description><category></category></item><item><title><![CDATA[Attention-based Deep Multiple Instance Learning]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/131053253</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/131053253</guid><author>Knight_ZJY</author><pubDate>Mon, 05 Jun 2023 17:53:15 +0800</pubDate><description><![CDATA[多示例学习(MIL)定义为学习包标签的伯努利分布，其中包标签的概率由神经网络完全参数化。提出了一种基于NN的置换不变聚合算子，对应注意力机制。该算子提供了每个示例对包标签的贡献的深入了解实验结果，在banchmark数据集上取得与最佳MIL方法相当的性能，在不牺牲可解释性的情况下，在MNIST数据集和两个真实组织病理学数据集上优于其他方法。]]></description><category></category></item><item><title><![CDATA[BP-MIP（2002）代码复现]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/130854730</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/130854730</guid><author>Knight_ZJY</author><pubDate>Wed, 24 May 2023 20:24:10 +0800</pubDate><description><![CDATA[由一个输出为1的全连接层构成，采用sigmoid作为激活函数，采用最大池化。]]></description><category></category></item><item><title><![CDATA[Revisiting multiple instance neural networks （mi-Net,MI-Net,）]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/130348240</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/130348240</guid><author>Knight_ZJY</author><pubDate>Mon, 24 Apr 2023 17:42:17 +0800</pubDate><description><![CDATA[Revisiting multiple instance neural networks （mi-Net,MI-Net,）]]></description><category></category></item><item><title><![CDATA[多示例神经网络：Neural Networks for Multi-Instance Learning (BP-MIP,周志华,2002)]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/130208773</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/130208773</guid><author>Knight_ZJY</author><pubDate>Mon, 17 Apr 2023 20:48:44 +0800</pubDate><description><![CDATA[多示例神经网络BP-MIP]]></description><category></category></item><item><title><![CDATA[论文写作总结]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/128268830</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/128268830</guid><author>Knight_ZJY</author><pubDate>Sat, 10 Dec 2022 20:33:29 +0800</pubDate><description><![CDATA[论文写作]]></description><category></category></item><item><title><![CDATA[Scalable Algorithms for Multi-Instance Learning]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/128206501</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/128206501</guid><author>Knight_ZJY</author><pubDate>Tue, 06 Dec 2022 17:09:13 +0800</pubDate><description><![CDATA[mivLAD+miFV]]></description><category></category></item><item><title><![CDATA[多示例图像包生成器代码学习]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127766690</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127766690</guid><author>Knight_ZJY</author><pubDate>Wed, 09 Nov 2022 11:37:31 +0800</pubDate><description><![CDATA[多示例包生成器]]></description><category></category></item><item><title><![CDATA[【论文阅读】An empirical study on image bag generators for multi-instance learning]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127623897</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127623897</guid><author>Knight_ZJY</author><pubDate>Mon, 31 Oct 2022 21:32:56 +0800</pubDate><description><![CDATA[多示例图像包生成器]]></description><category></category></item><item><title><![CDATA[【论文阅读】Towards Certified Robustness of Distance Metric Learning]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127532613</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127532613</guid><author>Knight_ZJY</author><pubDate>Wed, 26 Oct 2022 14:57:50 +0800</pubDate><description><![CDATA[距离度量学习的鲁棒性证明]]></description><category></category></item><item><title><![CDATA[多示例学习相关知识]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127389770</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127389770</guid><author>Knight_ZJY</author><pubDate>Tue, 18 Oct 2022 15:32:26 +0800</pubDate><description><![CDATA[多示例学习相关知识]]></description><category></category></item><item><title><![CDATA[【代码复现】BAMIC]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127325208</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127325208</guid><author>Knight_ZJY</author><pubDate>Fri, 14 Oct 2022 17:54:35 +0800</pubDate><description><![CDATA[【代码】【代码复现】BAMIC。]]></description><category></category></item><item><title><![CDATA[【论文阅读】Multi-instance clustering with applications to multi-instance prediction]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127075256</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/127075256</guid><author>Knight_ZJY</author><pubDate>Tue, 27 Sep 2022 17:34:25 +0800</pubDate><description><![CDATA[多实例聚类在多实例预测中的应用]]></description><category></category></item><item><title><![CDATA[Simple-MI算法实现]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/126955159</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/126955159</guid><author>Knight_ZJY</author><pubDate>Tue, 20 Sep 2022 16:08:30 +0800</pubDate><description><![CDATA[Simple-MI算法实现]]></description><category></category></item><item><title><![CDATA[【论文阅读】Multiple instance classification: Review, taxonomy]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/126836334</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/126836334</guid><author>Knight_ZJY</author><pubDate>Tue, 13 Sep 2022 17:33:19 +0800</pubDate><description><![CDATA[【论文阅读】Multiple instance classification: Review, taxonomy]]></description><category></category></item><item><title><![CDATA[【算法实现】：ELDB算法实现]]></title><link>https://blog.youkuaiyun.com/Knight_ZJY/article/details/126389660</link><guid>https://blog.youkuaiyun.com/Knight_ZJY/article/details/126389660</guid><author>Knight_ZJY</author><pubDate>Wed, 17 Aug 2022 16:50:24 +0800</pubDate><description><![CDATA[【算法实现】：ELDB算法实现。]]></description><category></category></item></channel></rss>