文件名称:bag_words_demo
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一个学习自然场景类别的贝叶斯模型、基于“词袋”模型的目标分类。来源于Feifei Li的论文。是近年来的目标识别模型热点之一。-”A Bayesian Hierarchical Model for Learning Natural Scene Categories“ FeiFei Li.CVPR2005
相关搜索: 目标识别
a bayesian hierarchical model for learning natural
bag_words_demo.zip
bag_words_demo
bag wor
(系统自动生成,下载前可以参看下载内容)
下载文件列表
common/
common/discrete_sampler.m
common/do_all.m
common/do_form_codebook.m
common/do_interest_operator.m
common/do_naive_bayes.m
common/do_naive_bayes_evaluation.m
common/do_plsa.m
common/do_plsa_evaluation.m
common/do_preprocessing.m
common/do_random_indices.m
common/do_representation.m
common/do_vq.m
common/drawcircle.m
common/Edge_Sampling.m
common/genFileNames.m
common/get_new_model_name.m
common/gg_lola_km_binary.m
common/prefZeros.m
common/recall_precision_curve.m
common/roc.m
common/xcv_segment.exe
common/SIFT.m
common/vgg_kmeans.m
common/vgg_save_image.m
common/vgg_save_image_mit.m
common/vgg_save_image_pgm.m
common/vgg_save_image_ppm.m
common/vgg_xcv_segment.m
common/xcv_segment
common/pLSA_EM.m
common/compute_descriptors.ln
common/vgg_kmiter.mexglx
common/vgg_nearest_neighbour.cxx
common/vgg_kmiter.cxx
common/vgg_nearest_neighbour.m
common/do_test_parts_structure.m
common/Norm_Corr.m
common/vgg_argparse.m
common/localmax.m
common/clear_model.m
common/vgg_nearest_neighbour.mexglx
common/do_test_efficient.m
common/draw_ellipse.m
common/do_manual_train_parts_structure.m
common/do_part_filtering.m
common/dist_transform.m
common/test_localization.m
common/dist_transform_1d.m
experiments/
experiments/bag_of_words/
experiments/bag_of_words/config_file_1.m
experiments/bag_of_words/config_file_2.m
common/discrete_sampler.m
common/do_all.m
common/do_form_codebook.m
common/do_interest_operator.m
common/do_naive_bayes.m
common/do_naive_bayes_evaluation.m
common/do_plsa.m
common/do_plsa_evaluation.m
common/do_preprocessing.m
common/do_random_indices.m
common/do_representation.m
common/do_vq.m
common/drawcircle.m
common/Edge_Sampling.m
common/genFileNames.m
common/get_new_model_name.m
common/gg_lola_km_binary.m
common/prefZeros.m
common/recall_precision_curve.m
common/roc.m
common/xcv_segment.exe
common/SIFT.m
common/vgg_kmeans.m
common/vgg_save_image.m
common/vgg_save_image_mit.m
common/vgg_save_image_pgm.m
common/vgg_save_image_ppm.m
common/vgg_xcv_segment.m
common/xcv_segment
common/pLSA_EM.m
common/compute_descriptors.ln
common/vgg_kmiter.mexglx
common/vgg_nearest_neighbour.cxx
common/vgg_kmiter.cxx
common/vgg_nearest_neighbour.m
common/do_test_parts_structure.m
common/Norm_Corr.m
common/vgg_argparse.m
common/localmax.m
common/clear_model.m
common/vgg_nearest_neighbour.mexglx
common/do_test_efficient.m
common/draw_ellipse.m
common/do_manual_train_parts_structure.m
common/do_part_filtering.m
common/dist_transform.m
common/test_localization.m
common/dist_transform_1d.m
experiments/
experiments/bag_of_words/
experiments/bag_of_words/config_file_1.m
experiments/bag_of_words/config_file_2.m
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