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2017年机器学习和数据科学国际会议（The International Conference on Machine Learning and Data Science）
2017年 机器学习 数据科学 国际会议
2017/11/27
The International Conference on Machine Learning and Data Science will focus on topics that are of interest to computer and computational scientists and engineers. MLDS-2017 will bring together resear...
Scientists Develop Machine-Learning Method to Predict the Behavior of Molecules（图）
Scientists Machine-Learning Method Predict the Behavior of Molecules
2017/10/26
An international, interdisciplinary research team of scientists has come up with a machine-learning method that predicts molecular behavior, a breakthrough that can aid in the development of pharmaceu...
Recent advances in deep learning techniques have made impressive progress in many areas of computer vision, including classification, detection, and segmentation. While all of these areas are relevant...
2017年物联网自主机器人的高级学习技术专题会议（Advanced Learning Techniques for Autonomous Robots in the Internet of Things ）
2017年 物联网 自主机器人 高级学习技术 专题会议
2017/4/1
In the past twenty years, Machine Learning (ML) has enabled a number of key technologies that have revolutionized many aspects of our daily lives. Notable examples include spam filtering, automated fr...
第十六届中国机器学习会议（CCML2017）由中国人工智能学会和中国计算机学会联合主办，中国人工智能学会机器学习专业委员会和中国计算机学会人工智能与模式识别专业委员会协办，天津大学、天津科技大学承办，南开大学、河北工业大学、天津理工大学、中国民航大学等联合承办。该系列会议每两年举行一次，现已成为国内机器学习界最主要的学术活动。此次会议将为机器学习及相关研究领域的学者交流最新研究成果、进行广泛的学术...
第六届数据驱动控制和学习系统会议（The 6th Data Driven Control and Learning Systems Conference）
数据驱动控制 学习系统 会议
2017/2/13
Data Driven Control and Learning Systems Conference (DDCLS) is an annual conference organized by Technical Committee on Data Driven Control, Learning and Optimization, Chinese Association of Automatio...
Stability Analysis of Continuous-Time Iterative Learning Control Systems with Multiple State Delays
Iterative learning control time-delay systems monotonic convergence 2-D system theory robust H∞control theory linear matrix inequality
2010/3/29
This paper presents a stability analysis of the iterative
learning control (ILC) problem for continuous-time systems with
multiple state delays, especially when system parameters are subject
to pol...
Automatic motion learning in the presence of anomalies using coefficient feature space representation of trajectories
Object trajectory dimensionality reduction trajectory clustering
2009/9/9
Techniques for understanding video object motion activity are becoming increasingly important with the widespread adoption of CCTV surveillance systems. Motion trajectories provide rich spatiotemporal...