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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Markov decision process and reinforcement learning for intelligent
智能 马尔可夫 决策过程 强化学习
2022/12/9
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究，我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性，用二元伽马过程来描述系统退化过程。系统元件服从周期性检测，当元件的退化程度超过预防性维护阈值时，其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略，有限周期的最优策略是动态的，其在每次检测都...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Markov decision process and reinforcement learning for intelligent operation and maintenance
智能 马尔可夫 决策过程 强化学习
2022/12/9
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究，我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性，用二元伽马过程来描述系统退化过程。系统元件服从周期性检测，当元件的退化程度超过预防性维护阈值时，其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略，有限周期的最优策略是动态的，其在每次检测都...
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Deep Neural Networks Convolutional Neural Networks Semantic Segmentation Chest Radiography Tuberculosis
2017/5/15
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
2017计算机辅助学习设计与自主性国际研讨会（International Workshop on Design and Spontaneity in Computer-Supported Collaborative Learning (DS-CSCL-2017)）
2017 计算机辅助 学习设计与自主性 国际研讨会
2017/5/15
The DS-CSCL workshop is a meeting place for professionals in collaborative systems and in instructional technologies from academic and industry arenas, aiming to kindle dialogue and productive inquiri...
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
Sweeping Line Multiple Instance Learning Paradigm Interactive Image Segmentation
2016/1/22
Interactive segmentation, in which a user provides a bounding box to an object of interest for image segmenta-tion, has been applied to a variety of applications in im-age editing, crowdsourcing, comp...
Receding Learning-aided Control in Stochastic Networks
Receding learning-aided control Detection Network optimization Queueing
2016/1/22
In this paper, we develop the Receding Learning-aided Control algorithm ( RLC ) for solving optimization problems in general stochastic networks with potentially non-stationary system dynamics. RLC is...
Using Technology to Provide Multimodal Learning Opportunities and Enhance Student Engagement in Face-to-Face and Online Courses
Multimodal learning student engagement online courses learning styles assessment
2014/12/20
This poster showcases how the presenters incorporate a variety of technologies, media and interactive elements to provide multimodal learning opportunities and enhance student engagement in both face-...
In this paper, we propose a learning based approachto estimating pixel disparities from the motion informationextracted out of input monoscopic video sequences. We representeach video frame with super...
Unsupervised Learning of Dyadic Processes: Models, Methods, and Simulation
dyadic processes micro-social dynamics Hierarchical Dirichlet Hidden semi-Markov Model
2012/8/8
The dynamics that arise from dyadic processes, such as those
observed in married couples, generate a cascade of eectssome good
and some badon each partner, other family members, and other social ...
Margin Emphasized Metric Learning and Its Application to Gabor Feature Based Face Recognition
face verification metric learning margin Gabor Labeled Faces in Wild
2011/7/24
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new obj...
Learning-to-Share Based on Finding Groups for Large Scale Image Classification
group sharing large scale classification hierarchical model
2011/7/24
With the large scale image classification attracting more attention in recent years, a lot of new challenges spring up. To tackle the problems of distribution imbalance and divergent visual correlatio...
Learning Image Vicept Description via Mixed-Norm Regularization for Large Scale Semantic Image Search
Vicept Description via Mixed-Norm Regularization Large Scale
2011/7/24
The paradox of visual polysemia and concept polymorphism has been a great challenge in the large scale semanticimage search. To address this problem, our paper proposesa new method to generate image V...
ONLINE VICEPT LEARNING FOR WEB-SCALE IMAGE UNDERSTANDING
Online Vicept Learning Spatial Pyramid Matching Image Understanding
2011/7/18
Web-scale image understanding is a challenging but signifi-cant task to comprehend image contents on the internet. Thee-facto standard methods based on machine learning or computer vision still ...
Efficient lp-Norm Multiple Feature Metric Learning for Image Categorization
Algorithms Performance Experimentation
2011/2/15
Previous metric learning approaches are only able to learn the metric based on single concatenated multivariate feature representation. However, for many real world problems with multiple feature repr...
Multi-Task Rank Learning for Visual Saliency Estimation
Generalization ability multi-task learning pairwise rank learning visual saliency.
2011/2/12
Visual saliency plays an important role in variousvideo applications such as video retargeting and intelligentvideo advertising. However, existing visual saliency estimationapproaches often construct ...