Timeline for Data Augmentation using Eigenvalues and Eigenvectors
Current License: CC BY-SA 3.0
13 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 18, 2014 at 13:15 | vote | accept | Siavash S | ||
| Nov 12, 2014 at 21:11 | answer | added | Daniel | timeline score: 3 | |
| Nov 12, 2014 at 16:51 | comment | added | Siavash S | imagenet classification with deep convolutional neural networks @Daniel | |
| Nov 12, 2014 at 9:49 | comment | added | Daniel | Could you include the paper you are talking about? | |
| Nov 11, 2014 at 3:12 | comment | added | Siavash S | you can do so but the the data will be the same. I want to use this data for classification. This method of data augmentation can be used to make the classifier more robust. | |
| Nov 11, 2014 at 3:11 | history | edited | Siavash S | CC BY-SA 3.0 |
deleted 117 characters in body; edited tags
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| Nov 11, 2014 at 2:56 | comment | added | gung - Reinstate Monica | It sounds flatly invalid to me. Why not just copy your data and add it to the end of your data file? To generate data this way assumes that the means (& SDs etc) in your data exactly match the population. | |
| Nov 11, 2014 at 2:51 | comment | added | Siavash S | @gung Yes, I wanted to see what is the rationale behind it | |
| Nov 11, 2014 at 2:42 | comment | added | gung - Reinstate Monica | So are the using this process to generate more data to add to their sample... or what exactly? | |
| Nov 11, 2014 at 2:39 | history | tweeted | twitter.com/#!/StackStats/status/531999727651287040 | ||
| Nov 11, 2014 at 2:39 | comment | added | Siavash S | I came across some papers which referred to "eigenvalue noise". is this the same concept? | |
| Nov 11, 2014 at 2:36 | review | First posts | |||
| Nov 11, 2014 at 2:42 | |||||
| Nov 11, 2014 at 2:33 | history | asked | Siavash S | CC BY-SA 3.0 |