All Questions
Tagged with autoencoderfeature-extraction
7 questions
0votes
1answer
26views
How to improve the influence of one element of the input on the latent code in an autoencoder?
I am trying to apply an autoencoder for feature extraction with the input like I=[x1,x2,x3,...,xn]. Representing the latent code after encoding as L, I want to improve the influence of one element of ...
- 15
0votes
2answers
980views
Autoencoder vs Pre-trained network for feature extraction
I wanted to know if anyone has any sort of guidance on what is better for image classification on a lot of classes (about 400) with a small amount of samples per class (around 20), for relatively big ...
1vote
1answer
404views
Autoencoder feature extraction plateau
I am working with a large dataset (approximately 55K observations x 11K features) and trying to perform dimensionality reduction to about 150 features. So far, I tried PCA, LDA, and autoencoder. The ...
- 167
6votes
1answer
9kviews
How to extract features from the encoded layer of an autoencoder?
I have done some research on autoencoders, and I have come to understand that they can also be used for feature extraction (see this question on this site as an example). Most of the examples out ...
- 163
-1votes
1answer
320views
Suitable Autoencoder for Activity Recognition dataset Feature Extraction
I have text data representing sensor outputs. Dataset: ...
- 99
2votes
1answer
2kviews
Under what conditions should an autoencoder be chosen over kernel PCA?
I've recently been looking at autoencoders and kernel PCA for unsupervised feature extraction. Lets consider just for a moment linear PCA. Its my understanding that if a autoencoder (with a single ...
- 131
2votes
0answers
2kviews
Feature extraction using autoencoder and assigning sub-features to the classes
I have a dataset with N records and D numerical attributes belonign to C different classes. ...
- 1,255
