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2021年6月25-27日，国家天元数学西北中心在西安交通大学举办Statistical learning methods in modern AI国际会议。本次会议由普林斯顿大学范剑青院士、美国北卡罗来纳教堂山分校朱宏图教授和西安交通大学姜丹丹教授共同召集组织。会议邀请了世界知名高校及企业的一线专家以线上或线下的方式带来了29场前沿学术报告。西安交通大学的青年教师和在校研究生现场聆听了报告，30...
近日，福州大学王益文团队在爱思唯尔(Elsevier)已出版40多年的脑科学方法领域国际经典SCI期刊Journal of Neuroscience Methods在线发表基于脑机接口的方法研究论文。
EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES
Dense image matching Deep learning Convolutional neural network Aerial stereos Transfer learning
2018/6/4
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
2017人工智能规划与机器人研讨会（Workshop on AI Planning & Robotics: Challenges and Methods）
2017 人工智能规划 机器人 研讨会
2017/5/23
Welcome to the Planning and Scheduling Team's homepage. Our group is part of the Institute for Cognitive Science and Technology (ISTC) of the Italian National Research Council (CNR).
SIMULATION OF THE «COSMONAUT-ROBOT» SYSTEM INTERACTION ON THE LUNAR SURFACE BASED ON METHODS OF MACHINE VISION AND COMPUTER GRAPHICS
Lunar Exploration Extravehicular Activity (EVA) Human-Robot Interaction (HRI) Mobile Robot Control "Follow Me" Mode Gesture Interface Object Tracking Gesture Recognition Motion Capture
2017/6/19
Extravehicular activity (EVA) on the lunar surface, necessary for the future exploration of the Moon, involves extensive use of robots. One of the factors of safe EVA is a proper interaction between c...
AUTOMATIC DETECTION OF PATTERNS IN ROAD NETWORKS -METHODS AND EVALUATION
pattern recognition networks vector data geometric information
2015/9/28
Spatial data play a major role in many areas. They are an important source of information for a wide range of applications. The
quality and quantity of data have increased in the last decades, resul...
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach
Bayesian nonparametric inference factor analysis HDP-HMM i-vectors principal component analysis speaker clustering speaker diarization spectral clustering variational Bayes
2014/11/27
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach.
On the Use of Spectral and Iterative Methods for Speaker Diarization
speaker diarization factor analysis Total Variability spectral clustering
2014/11/27
This paper extends upon our previous work using i-vectors for speaker diarization. We examine the effectiveness of spectral clustering as an alternative to our previous approach using Kmeans clusterin...
清华大学模式识别基础课件 Summary on Supervised Pattern Recognition Methods
模式识别基础 课件 Supervised Pattern Recognition Methods
2009/5/4
清华大学模式识别基础课件 Summary on Supervised Pattern Recognition Methods。