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Results tagged with representation-learning
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user 31312
For questions related to feature learning (also known as representation learning), which is a set of techniques that can learn the features associated with the raw data. It is similar to feature engineering, but, in the case of feature learning, the features are learned and not handcrafted.
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Convolutional Feature Encoding Methods in DCNN
In Computer Vision, feature encoding methods are used on pre-trained DCNN to increase the feature robustness to certain conditions such as viewpoint/appearance variations ref.
I was just wondering if …
- 299
5
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2
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What are examples of approaches to dimensionality reduction of feature vectors?
Given a pre-trained CNN model, I extract feature vector of images in reference and query dataset with several thousands of elements.
I would like to apply some augmentation techniques to reduce the f …
- 299
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Plot class activation heatmap of Caffe Model in Python
Given the following 3 research papers, the authors have shown different heatmap graphical representations for features of the trained CNN models:
On the performance of Convnet feature for place reco …
- 299