For questions related to the concept of bag-of-features (also known as bag-of-visual-words), which is a way of representing the features of images in a fixed-size vector.
Questions tagged [bag-of-features]
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What are bag-of-features in computer vision?
In computer vision, what are bag-of-features (also known as bag-of-visual-words)? How do they work? What can they be used for? How are they related to the bag-of-words model in NLP?
nbro
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Does the bag-of-visual-words method improve the classification accuracy?
I'm a beginner in computer vision. I want to know which option among the following two can get better accuracy of image classification.
SIFT features + SVM
Bag-of-visual-words features + SVM
Here's a reference:…
Jimmy116
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On learning to rank tasks. Could it be that the input of the Siamese network is a vector, or should it be exclusively raw text?
I'm developing a method to document and query representation as concept vectors (bag-of-concepts). I want to train a machine learning model on ranking (learning to rank a task). So I have document vector V1 and query vector V2. How should I use…
mike sam
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