文件名称:BlockCirculantMatrix
- 所属分类:
- Linux/Unix编程
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2015-10-09
- 文件大小:
- 630kb
- 下载次数:
- 0次
- 提 供 者:
- c**
- 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
circulant matrix detection
(系统自动生成,下载前可以参看下载内容)
下载文件列表
detector_release1
.................\circulant_matrix_toy.m
.................\detection
.................\.........\detect.m
.................\.........\get_rects.m
.................\.........\post_process_rects.m
.................\download_datasets.m
.................\evaluation
.................\..........\evaluate_detector.m
.................\..........\evaluate_image.m
.................\..........\precision_recall.m
.................\libraries
.................\.........\libraries.txt
.................\.........\libvl.so
.................\.........\Microsoft.VC90.CRT.manifest
.................\.........\msvcr90.dll
.................\.........\train.mexa64
.................\.........\train.mexw64
.................\.........\vl.dll
.................\.........\vl_hog.mexa64
.................\.........\vl_hog.mexw64
.................\plot_ethz.m
.................\plot_inria_and_caltech.m
.................\readme.txt
.................\run_circulant_caltech.m
.................\run_circulant_ethz.m
.................\run_circulant_inria.m
.................\run_mining_caltech.m
.................\run_mining_ethz.m
.................\run_mining_inria.m
.................\set_defaults.m
.................\training
.................\........\gaussian_shaped_labels.m
.................\........\linear_training.m
.................\........\load_pos_samples.m
.................\........\load_samples.m
.................\........\mine_image.m
.................\........\run_circulant.m
.................\........\run_mining.m
.................\utilities
.................\.........\dataset_image.m
.................\.........\dataset_init.m
.................\.........\dataset_list.m
.................\.........\get_features.m
.................\.........\progress.m
.................\.........\videofig.m
.................\.........\visualize_detections.m