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科研机构
西安交通大学 [12]
内容类型
期刊论文 [7]
会议论文 [5]
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2019 [2]
2018 [2]
2017 [2]
2016 [2]
2013 [2]
2010 [1]
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专题:西安交通大学
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Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework
期刊论文
International Journal of Computer Vision, 2019, 卷号: 127, 页码: 363-380
作者:
Zhang, Dingwen
;
Han, Junwei
;
Zhao, Long
;
Meng, Deyu
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2019/11/19
Benchmark datasets
Learning frameworks
Learning object model
Learning process
Self-paced larning
State-of-the-art methods
Vision communities
Weakly supervised learning
A variational model with hybrid Hyper-Laplacian priors for Retinex
期刊论文
Applied Mathematical Modelling, 2019, 卷号: 66, 页码: 305-321
作者:
Cheng, Ming-Hui
;
Huang, Ting-Zhu
;
Zhao, Xi-Le
;
Ma, Tian-Hui
;
Huang, Jie
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/11/19
Alternating direction method of multiplier (ADMM)
Alternating direction method of multipliers
Laplacians
Numerical experiments
Reflectance images
Retinex
State-of-the-art methods
Variational modeling
Hyperspectral image restoration under complex multi-band noises
期刊论文
Remote Sensing, 2018, 卷号: 10
作者:
Yue, Zongsheng
;
Meng, Deyu
;
Sun, Yongqing
;
Zhao, Qian
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
Gaussian Mixture Model
Hierarchical Dirichlet process
Hierarchical dirichlet process (HDP)
Mean structural similarity indices
Peak signal to noise ratio
Restoration techniques
State-of-the-art methods
Variational bayes
An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization
期刊论文
IEEE Transactions on Knowledge and Data Engineering, 2018
作者:
Yang, Zhou
;
Sun, Heli
;
Huang, Jianbin
;
Sun, Zhongbin
;
Xiong, Hui
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/26
Bayes method
Markov model
Markov Transition Matrices
MAtrix multiplication
State-of-the-art methods
Task analysis
Time and space complexity
Transition probabilities
A Framework for Ontology-Based Top-K Global Schema Generation
期刊论文
Journal on Data Semantics, 2017, 卷号: 6, 页码: 31-53
作者:
Li, Longzhuang
;
Wei, Yuzhe
;
Tian, Feng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Conceptual model
Database integration
Global schemas
Hierarchical schema
Hierarchical structures
Schema integration
State of the art
User involvement
A first-order difference model-based evolutionary dynamic multiobjective optimization
会议论文
作者:
Cao, Leilei
;
Xu, Lihong
;
Goodman, Erik D.
;
Li, Hui
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Dynamic multiobjective optimization
First order differences
Multi objective evolutionary algorithms
Multi-objective optimization algorithms
Multiple objective functions
Pareto optimal solutions
Prediction model
State-of-the-art algorithms
Deep ranking model for person re-identification with pairwise similarity comparison
会议论文
作者:
Zhou, Sanping
;
Wang, Jinjun
;
Hou, Qiqi
;
Gong, Yihong
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Deep convolutional neural networks
Discriminative features
Feature representation
Fully-connected layers
Pair-wise comparison
Person re identifications
Similarity comparisons
State-of-the-art approach
A biologically inspired deep CNN model
会议论文
作者:
Zhang, Shizhou
;
Gong, Yihong
;
Wang, Jinjun
;
Zheng, Nanning
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Benchmark datasets
Biologically inspired
Deep convolutional neural networks
Experimental evaluation
Human visual cortex
Interconnection patterns
Optimal network structure
State-of-the-art performance
A random walk approach to selectional preferences based on preference ranking and propagation
会议论文
作者:
Tian, Zhenhua
;
Xiang, Hengheng
;
Liu, Ziqi
;
Zheng, Qinghua
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/03
Data sparsity
Model aggregate
Preference ranking
Random Walk
Selectional preferences
State-of-the-art methods
Review of fundamental properties and topics of model predictive control for nonlinear systems
期刊论文
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2013, 卷号: 30, 期号: [db:dc_citation_issue], 页码: 273-287
作者:
He, De-Feng
;
Ding, Bao-Cang
;
Yu, Shu-You
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/10
Feasibility
Fundamental principles
Fundamental properties
Non-linear model
Optimization solution
Predictive control
Regions of attraction
State of the art
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