hayato8059的博客

搜集的几篇关于动作识别的2013 2014 2015年的paper 目录： 3D Convolutional Neural Networks for Human Action Recognition 2013 PAMI Action Recognition with Actons 2013 ICCV Action Recognition with Improved Trajectories 2013 ICCV Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors 2015 CVPR ActivityNet A Large-Scale Video Benchmark for Human Activity Understanding 2015 CVPR Bag of Visual Words and Fusion Methods for Action Recognition Comprehensive Study and Good Practice 2014 Concurrent Action Detection with Structural Prediction 2013 ICCV Dense trajectories and motion boundary descriptors for action ecognition 2013 Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group 2014 CVPR Multi-View Super Vector for Action Recognition 2014 Sequence of the most informative joints (SMIJ) A new representation for human skeletal action recognition 2014 Towards Good Practices for Very Deep Two-Stream ConvNets 2015 Two-Stream Convolutional Networks for Action Recognition in Videos 2014

使用遗传算法解决皇后问题 c++代码可运行 代码中设置为14皇后 可更改

LogisticRegression 逻辑斯蒂回归 matlab 可运行 内含测试数据

使用梯度下降法实现线性回归 使用数据如下： Year x = [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008,2009, 2010, 2011, 2012, 2013] Price y = [2.000, 2.500, 2.900, 3.147, 4.515, 4.903, 5.365, 5.704,6.853, 7.971, 8.561, 10.000, 11.280, 12.900]

计算机图像学，使用C语言编写的种子填充程序，需要graphics头文件，vc6.0调试通过。