文件名称:struct_predict_smooth_v1.342
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2013-06-14
- 文件大小：
- 3.92mb
- 下载次数：
- 0次
- 提 供 者：
- w**
- 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
Daniel Munoz的论文Contextual Classification with Functional Max-Margin Markov Networks-Daniel Munoz paper Contextual Classification with Functional Max-Margin Markov Networks
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下载文件列表
struct_predict_smooth_v1.342\0README.txt
............................\CMakeLists.txt
............................\m3n\CMakeLists.txt
............................\...\examples\example.cc
............................\...\........\random_field\train_rf.cs_0_features
............................\...\........\............\train_rf.cs_1_features
............................\...\........\............\train_rf.node_features
............................\...\........\............\train_rf.random_field
............................\...\........\............\train_rf_point_cloud.wrl
............................\...\include\m3n\functional_m3n.h
............................\...\.......\...\m3n_model.h
............................\...\.......\...\parametric_m3n.h
............................\...\.......\...\random_field.h
............................\...\.......\...\.egressors\linear_regression.h
............................\...\.......\...\..........\ocv_rtree_wrapper.h
............................\...\.......\...\..........\regressor_includes.h
............................\...\.......\...\..........\regressor_wrapper.h
............................\...\.......\...\util\m3n_logging.h
............................\...\.......\...\....\m3n_stats.h
............................\...\Makefile
............................\...\manifest.xml
............................\...\src\functional_m3n.cc
............................\...\...\m3n_model.cc
............................\...\...\m3n_model_inference.cc
............................\...\...\m3n_model_learning.cc
............................\...\...\parametric_m3n.cc
............................\...\...\random_field.cc
............................\...\...\random_field_io_wg.cc
............................\...\...\.egressors\linear_regression.cc
............................\...\...\..........\ocv_rtree_wrapper.cc
............................\...\...\..........\regressor_wrapper.cc
............................\submodular_graphcut\CMakeLists.txt
............................\...................\include\submodular_graphcut\graphcut_bgl.h
............................\...................\.......\...................\graphcut_vk3.h
............................\...................\.......\...................\submodular_graphcut.h
............................\...................\Makefile
............................\...................\manifest.xml
............................\...................\src\graphcut_bgl.cc
............................\...................\...\submodular_graphcut.cc
............................\m3n\include\m3n\regressors
............................\...\.......\...\util
............................\...\examples\learned_m3n_model
............................\...\........\random_field
............................\...\........\resaved_m3n_model
............................\...\include\m3n
............................\...\src\regressors
............................\submodular_graphcut\include\submodular_graphcut
............................\m3n\examples
............................\...\include
............................\...\src
............................\submodular_graphcut\include
............................\...................\src
............................\m3n
............................\submodular_graphcut
struct_predict_smooth_v1.342