Comments (9)
- 你的matlab版本是多少?
- 你现在的情况是,16维要用GFK降到8维。我之前在用GFK的时候,也出现类似的问题,就是降维后的维度要小于原维度的一半,否则它就会出错。用的都是作者的代码,至今无解。
- 方便的话,可以把你的x_src,y_src,x_tar,y_tar发到我邮箱[email protected],我晚上帮你看一下。
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王老师,实在是不好意思!我们这边的数据不方便外传,请您谅解!
我的matlab是2016b版本
不过我之前根据您的回复:“降维后的维度要小于原维度的一半”,我将dim设置为dim<=8,程序已经可以正常运行了。
不过我的识别精度不高,这可能是我提取的特征不太好?
此外,我发现,源域样本数量和目标域样本数量发生变化时,识别精度也会发生改变?并且差异性较大(28.5%~58.5%)?
这是因为原算法的特性?
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嗯嗯,谢谢王老师!祝好!
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王老师你好,我现在有 source train data, target train data, target test data , 在跑GFK的时候, target train data 不加载,程序会报错,提示维度不一致
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@Guoleming 请具体说一下你跑的哪个程序,数据是什么,自己有没有试着去调,尽可能提供完整的信息。否则我无法帮到你
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王老师你好,这是我的程序截图, Xr 是训练数据包含源域+目标域, Yr,只有源域标签, Xt,Yt 是目标域测试数据和标签。
变量b 的shape 与 a, c 不一致
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你的输入符合程序输入要求吗?
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谢谢反馈,代码的要求,X_src, 需要与 Y_src 第一维,维数需要一致。而我的, X_src, 比Y_src 维数多了,这是我代码跑不通的原因.
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Related Issues (20)
- MMD距离 backward问题 HOT 3
- BDA代码中的数据集的问题 HOT 2
- 关于TransferNet中source_clf计算的疑问 HOT 1
- 关于复现 HOT 1
- 对比算法的复现缺少部分流程 HOT 1
- 程序显示没有loss_funcs模块 HOT 1
- Our new test-time adaptation algorithm for segmentation HOT 3
- 关于transferlearning/code /DeepDA的模型代码读取 HOT 2
- How to use DIFEX for single domain generalization? HOT 2
- code add HOT 2
- 有关于在使用DG中DANN方法中遇到的问题
- Office-31 webcam域上微调模型丢失 HOT 1
- 是否需要进行微调? HOT 2
- 作者您好!请问AdaRNN的对比实验中,MMD-RNN和DANN-RNN是如何实现的,MMD-RNN的源域和目标域是如何定义的,AdaRNN相比这两个对比模型进步在哪里? HOT 1
- Feature Request:添加ADDA的代码以及与其他方法的比较。 HOT 1
- 王老师您好,Domain Generalization for Activity Recognition via Adaptive Feature Fusion请问这篇论文的代码具体在哪个文件夹里?找了很久没找到 HOT 1
- Time series domain adaptation benchmark and datasets HOT 1
- DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization中的cross_dataset的文件 HOT 1
- BDA中A-distance问题
- 关于DANN中的域鉴别器的域分类准确率 HOT 2
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