Since the LI Fei-made bag of words this idea since the idea of the various algorithms by means of an endless stream, but also doing a very good performance. This file is in its people' s tutorial available on a Demo, with very detailed notes, want to give us some help

common
......\clear_model.m
......\compute_descriptors.ln
......\discrete_sampler.m
......\dist_transform.m
......\dist_transform_1d.m
......\do_all.m
......\do_form_codebook.m
......\do_interest_operator.m
......\do_manual_train_parts_structure.m
......\do_naive_bayes.m
......\do_naive_bayes_evaluation.m
......\do_part_filtering.m
......\do_plsa.m
......\do_plsa_evaluation.m
......\do_preprocessing.m
......\do_random_indices.m
......\do_representation.m
......\do_test_efficient.m
......\do_test_parts_structure.m
......\do_vq.m
......\drawcircle.m
......\draw_ellipse.m
......\Edge_Sampling.m
......\genFileNames.m
......\get_new_model_name.m
......\gg_lola_km_binary.m
......\localmax.m
......\Norm_Corr.m
......\pLSA_EM.m
......\prefZeros.m
......\recall_precision_curve.m
......\roc.m
......\SIFT.m
......\test_localization.m
......\vgg_argparse.m
......\vgg_kmeans.m
......\vgg_kmiter.cxx
......\vgg_kmiter.mexglx
......\vgg_nearest_neighbour.cxx
......\vgg_nearest_neighbour.m
......\vgg_nearest_neighbour.mexglx
......\vgg_save_image.m
......\vgg_save_image_mit.m
......\vgg_save_image_pgm.m
......\vgg_save_image_ppm.m
......\vgg_xcv_segment.m
......\xcv_segment
......\xcv_segment.exe
experiments
...........\bag_of_words
...........\............\config_file_1.m
...........\............\config_file_2.m

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