Questions tagged [feature-extraction]
For questions related to the concept of feature extraction, which is a set of techniques used to derive or create features from the existing set of features. Feature extraction is different from feature selection, which is used to select a subset of the existing features.
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Extracting Descriptors and feature points for 3d mesh
I'm programming my work with python, and I have a mesh and I want to extract 3d descriptors and feature points from it( trying to work on multi-scale strategy) , to visualize them later on the mesh,
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Learning Features from a Pre-trained Network
I am currently working on learning the features provided by a pre-trained network for image retrieval. Currently I take the features provided by the pre-trained network, use global max pooling to ...
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Can we use Autoencoders for unsupervised CNN feature learning?
I searched through the internet but couldn't find a reliable article that answers this question.
Can we use Autoencoders for unsupervised CNN feature learning of unlabeled images like the below
and ...
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Key Point Extraction the best method?
I have been researching about determining some key points on an image, in this case I'm gonna use cloth (top side of human body) pictures. I want to detect some corner points on those.
Example:
I ...
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How do I determine which relevant features have been learned during training in a CNN?
Is there any way to control the extraction of features? How do I determine which features are been learned during training, i.e relevant information is been learned or not?
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Are deep learning models suitable for training with sparse data?
I am training a generative adversarial network (GAN) to generate images given edge histogram descriptor (EHD) features of the image. The EHD features are themselves sparse (meaning they contain a lot ...
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