Wensi-Tang

Results 6 comments of Wensi-Tang

Thanks for your reply! The length is shown 0 is not a problem. This is because the time series in this dataset are of different lengths. UCR uses nan padding...

Hello, Does the normalized version refer to the clickable link in this sentence "Then you can download the entire [archive ](https://www.cs.ucr.edu/~eamonn/time_series_data_2018/UCRArchive_2018.zip)(about 260 MB in zipped format)." from the website https://www.cs.ucr.edu/~eamonn/time_series_data_2018/...

Could you please just give me the download link or some detailed instructions? I cannot find that /(ㄒoㄒ)\

Hello, thanks for your attention! Your understanding below : "then you apply multiples binary mask that put some weights of the kernel to 0 making its effective size being smaller....

Hi, I am sorry, I only heard the term "Boosting" from my supervisor, and I have no experience with it. So, all I could do is just answer some specific...

Hello, thanks for your attention! Q1: For one layer, the receptive field sizes are the same as the kernel sizes. But for multiple inception layers, the receptive field sizes will...