文件名称:weighted-pca-program
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-01-17
- 文件大小：
- 4.86mb
- 下载次数：
- 0次
- 提 供 者：
- taota*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
基于加权主成分分析（PCA）的人体检测算法，matlab程序-weighted PCA for pedestrian detection
(系统自动生成,下载前可以参看下载内容)
下载文件列表
pca_reconstruction-master
.........................\.gitignore
.........................\README.markdown
.........................\calculate_train_pcs.m
.........................\calculate_weights.m
.........................\chart_correlation.m
.........................\classify_test_samples.m
.........................\classify_train_samples.m
.........................\consolidate_results.m
.........................\helpers
.........................\.......\batch_all_errors.m
.........................\.......\batch_reconstruction_errors.m
.........................\.......\compute_edge.m
.........................\.......\display_classification_summary.m
.........................\.......\error_fitness_function.m
.........................\.......\load_images_and_edges.m
.........................\.......\plot_error_correlation.m
.........................\.......\reconstruct_image.m
.........................\.......\reconstruction_error.m
.........................\.......\slide_window.m
.........................\.......\total_reconstruction_error.m
.........................\load_paths.m
.........................\scan_all_images.m
.........................\set2
.........................\....\sobel
.........................\....\.....\benchmark.txt
.........................\....\.....\charts
.........................\....\.....\......\error_correlation_edge.pdf
.........................\....\.....\......\error_correlation_edge.pdf.fig
.........................\....\.....\......\error_correlation_grayscale.pdf
.........................\....\.....\......\error_correlation_grayscale.pdf.fig
.........................\....\.....\......\error_correlation_negative.pdf
.........................\....\.....\......\error_correlation_negative.pdf.fig
.........................\....\.....\......\error_correlation_positive.pdf
.........................\....\.....\......\error_correlation_positive.pdf.fig
.........................\....\.....\......\error_correlation_total_by_class.pdf
.........................\....\.....\......\error_correlation_total_by_class.pdf.fig
.........................\....\.....\......\error_correlation_total_by_type.pdf
.........................\....\.....\......\error_correlation_total_by_type.pdf.fig
.........................\....\.....\......\error_correlation_total_weighted_by_class.pdf
.........................\....\.....\......\error_correlation_total_weighted_by_class.pdf.fig
.........................\....\.....\......\error_correlation_total_weighted_by_type.pdf
.........................\....\.....\......\error_correlation_total_weighted_by_type.pdf.fig
.........................\....\.....\......\k=100.txt
.........................\....\.....\......\k=100
.........................\....\.....\......\.....\error_correlation_edge.pdf
.........................\....\.....\......\.....\error_correlation_grayscale.pdf
.........................\....\.....\......\.....\error_correlation_negative.pdf
.........................\....\.....\......\.....\error_correlation_positive.pdf
.........................\....\.....\......\.....\error_correlation_total_by_class.pdf
.........................\....\.....\......\.....\error_correlation_total_by_type.pdf
.........................\....\.....\......\.....\error_correlation_total_weighted_by_class.pdf
.........................\....\.....\......\.....\error_correlation_total_weighted_by_type.pdf
.........................\....\.....\......\.....\fig
.........................\....\.....\......\.....\...\error_correlation_edge.pdf.fig
.........................\....\.....\......\.....\...\error_correlation_grayscale.pdf.fig
.........................\....\.....\......\.....\...\error_correlation_negative.pdf.fig
.........................\....\.....\......\.....\...\error_correlation_positive.pdf.fig
.........................\....\.....\......\.....\...\error_correlation_total_by_class.pdf.fig
.........................\....\.....\......\.....\...\error_correlation_total_by_type.pdf.fig
.........................\....\.....\......\.....\...\error_correlation_total_weighted_by_class