关于高斯混合模型（GMM）的论文集

[{"title":"（ 13 个子文件 7.45MB ） 关于高斯混合模型（GMM）的论文集","children":[{"title":"2004-Improved adaptive Gaussian mixture model for background subtraction（引用28）.pdf <span style='color:#111;'> 213.84KB </span>","children":null,"spread":false},{"title":"2002-Background and foreground modeling using nonparametric kernel density estimation for visual surveillance(引用201).pdf <span style='color:#111;'> 397.00KB </span>","children":null,"spread":false},{"title":"2005-Effective gaussian mixture learning for video Background Subtraction（引用95）.pdf <span style='color:#111;'> 615.81KB </span>","children":null,"spread":false},{"title":"1997-Pfinder Real-time tracking of the human body(引用349).pdf <span style='color:#111;'> 649.92KB </span>","children":null,"spread":false},{"title":"2000-Learning Patterns of Activity Using Real-Time Tracking(引用480).pdf <span style='color:#111;'> 2.24MB </span>","children":null,"spread":false},{"title":"2006-Efficient adaptive density estimation per image pixel for the task of background subtraction.pdf <span style='color:#111;'> 444.27KB </span>","children":null,"spread":false},{"title":"2002-Understanding Background Mixture Models for Foreground Segmentation.pdf <span style='color:#111;'> 162.88KB </span>","children":null,"spread":false},{"title":"2004-Recursive Unsupervised Learning of Finite Mixture Models(引用32).pdf <span style='color:#111;'> 670.63KB </span>","children":null,"spread":false},{"title":"2011-Regularized background Adaptation a novel learning rate control scheme for Gaussian mixture modeling.pdf <span style='color:#111;'> 2.17MB </span>","children":null,"spread":false},{"title":"2001-An Improved adaptive background mixture model for real-time tracking with shadow detection.pdf <span style='color:#111;'> 258.95KB </span>","children":null,"spread":false},{"title":"2001-Multi-Object Tracking Using Dynamical Graph Matching.pdf <span style='color:#111;'> 350.63KB </span>","children":null,"spread":false},{"title":"2010-On the analysis of background subtraction techniques using Gaussian mixture models.pdf <span style='color:#111;'> 435.54KB </span>","children":null,"spread":false},{"title":"1999-stauffer_Adaptive background mixture models for real-time tracking（引用83）.pdf <span style='color:#111;'> 594.40KB </span>","children":null,"spread":false}],"spread":true}]