We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
作者您好,我在尝试将MaxK调整为20 100 500来训练模型的时候,总是在调用fzero的时候出现起始猜测处的函数值必须为有限实数的错误。 后面虽然在EM阶段给协方差矩阵加上eps能够跑通,但是实际效果远不如论文中的结果,想向您请教一下怎么解决这个问题。
The text was updated successfully, but these errors were encountered:
你好!在训练模型时,Train91和BSD200的模型结果会存在差异,最好采用BSD200训练,这是因为只有数据足够大,才能够支撑maxK的聚类效果。 其次,在EM阶段的eps可以调整一下,最好不要达到可以影响协方差矩阵数值的量级,比如可以选择1e-8,尽量选择能使模型跑通的最小eps。 另外,在测试阶段(SR_demo.m),如若训练的是GMM模型,则一定要在测试代码的[im_h_y] = SRFunc_MMPM_S(im_l(:,:,1), conf, mix_match)改成[im_h_y] = SRFunc_MMPM_G(im_l(:,:,1), conf, mix_match)。要不然效果也会存在明显差异。 希望能够对你有帮助!
Sorry, something went wrong.
感谢!
求助!请问测试的时候Recon = Cond_means .* Respons_1(j, :);这一行显示矩阵维数不一致,你们有遇到吗?
No branches or pull requests
作者您好,我在尝试将MaxK调整为20 100 500来训练模型的时候,总是在调用fzero的时候出现起始猜测处的函数值必须为有限实数的错误。
后面虽然在EM阶段给协方差矩阵加上eps能够跑通,但是实际效果远不如论文中的结果,想向您请教一下怎么解决这个问题。
The text was updated successfully, but these errors were encountered: