Bag of Words Model Implementation and Applications

Since Li Fei-Fei introduced the bag of words concept, numerous algorithms utilizing this approach have emerged with remarkable performance. This file provides a comprehensive Demo based on Li Fei-Fei's tutorial, featuring detailed code annotations and practical implementation insights for computer vision and NLP applications.

Dense SIFT for Image Feature Extraction with Bag-of-Words Representation

This article implements Dense SIFT for image feature extraction combined with Bag-of-Words (BoW) modeling. The BoW dictionary is constructed using only the training set since the test set is unavailable during development. The implementation covers BoW concept visualization, SVM classification with RBF kernel, and introduces a custom histogram intersection kernel based on research findings. The workflow includes feature encoding and demonstrates custom kernel integration in SVM.