第三版 Sebastian THRUN Stanford University Stanford, CA Wolfram BURGARD University of Freiburg Freiburg
To fully describe the structure information of the point cloud when the LIDAR-object distance is lon
基于深度学习特征的人脸聚类,胡易,董远,本文提出了一种新的人脸聚类的方法,它包括两个部分:特征提取和层次聚类.针对特征提取,采用了卷积神经网络来提取出相比于传统��
Large-scale 3D Point Cloud Classification Based On Feature Description Matrix By CNN
Alignment-free Feature Extraction Based on 2-D Hilbert Transform and Fourier-Mellin Transform
ProbabilisticGraphicalModels-PrinciplesandTechniquesDaphneKoller,NirFriedmanhttp://www.cs.huji.ac.
ProbabilisticMatrixFactorizationNIPS2008(神经信息处理系统进展大会)ConferenceonNeuralInformationProcessingSystems
Theprobabilisticroadmapapproachisoneoftheleadingmotionplan-ningtechniques.Overthepasteightyearsthete
优达学城创始人,谷歌大脑前科学家SebastianThrun的机器人学经典书籍。
ProbabilisticSensorModels
