搜索资源列表
mode-sence
- 模式识别课件,用于对故障的学习,以及学习相关的优化分类方法-Pattern Recognition courseware for learning the fault, and related optimization classification learning
Modeling-in-Starcraft-II
- 一篇人工智能领域的论文,作者利用weka环境选择合适的分类器对星际争霸2的录像数据进行玩家行为建模,旨在提高AI对玩家水平的判断。文章难度不高,对于初学人工智能和模式识别的很有启发性。-An artificial intelligence paper, the authors use weka environment select the appropriate classification for StarCraft 2‘s video player behavior data modelin
LEK-SRC
- 核稀疏用于字典学习和稀疏表示,可用于纹理分类等模式识别问题。-Nuclear sparse dictionary for learning and sparse representation can be used for texture classification pattern recognition problem.
