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科研机构
西安交通大学 [24]
北京大学 [2]
内容类型
会议论文 [17]
期刊论文 [7]
其他 [2]
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2019 [1]
2017 [3]
2016 [7]
2015 [8]
2014 [4]
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Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches
期刊论文
Swarm and Evolutionary Computation, 2019, 卷号: 44, 页码: 876-896
作者:
Guan, Chun
;
Yuen, Kevin Kam Fung
;
Coenen, Frans
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/11/19
Appropriate fitness function
Density-based Clustering
Density-based spatial clustering of applications with noise
Imbalanced dataset
Optimization problems
Parameter-tuning
Pattern recognition technologies
Supervised and unsupervised learning
Attributes-oriented Clothing Description and Retrieval with Multi-task Convolutional Neural Network
会议论文
作者:
Xia, Yizhang
;
Chen, Baitong
;
Lu, Wenjin
;
Coenen, Frans
;
Zhang, Bailing
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/11/26
Multi-Task Learning (MTL)
Fashion Description
Convolutional Neural Network (CNN)
Fashion Retrieval
Multilingual and Skew License Plate Detection Based on Extremal Regions
会议论文
作者:
Qian, Rongqiang
;
Zhang, Bailing
;
Coenen, Frans
;
Yue, Yong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
convolutional neural network
License plate Detection
multilingual license plate
skew license plate
extremal regions
Traffic sign recognition using visual attribute learning and convolutional neural network
会议论文
作者:
Qian, Rong-Qiang
;
Yue, Yong
;
Coenen, Frans
;
Zhang, Bai-Ling
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
Advanced driver assistances
Convolutional neural network
Max-pooling
Traffic sign recognition
Visual attributes
Visual Attribute Classification Using Feature Selection and Convolutional Neural Network
会议论文
作者:
Qian, Rongqiang
;
Yue, Yong
;
Coenen, Frans
;
Zhang, Bailing
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
deep learning
visual attribute classification
feature selection
convolutional neural networks
Driving posture recognition by convolutional neural networks
期刊论文
IET COMPUTER VISION, 2016, 卷号: 10, 期号: [db:dc_citation_issue], 页码: 103-114
作者:
Yan, Chao
;
Coenen, Frans
;
Zhang, Bailing
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
road conditions
driver information systems
unsupervised learning
effectiveness performance
sparse filtering
feature extraction
cell phone call
feedforward neural nets
image classification
traffic accidents
road traffic
video clips
road accidents
pose estimation
normal driving
intelligent driver assistance system development
poor illuminations
eating
driver fatigue
unsupervised feature learning method
smoking
image descriptors
embedded functionality
convolutional neural networks
driver hand position monitoring
automatic discriminative feature learning
object recognition
driving posture recognition
driver inattention
video signal processing
Southeast University driving posture dataset
image filtering
generalisation performance
driver vigilance monitoring
Road Surface Traffic Sign Detection with Hybrid Region Proposal and Fast R-CNN
会议论文
作者:
Qian, Rongqiang
;
Liu, Qianyu
;
Yue, Yong
;
Coenen, Frans
;
Zhang, Bailing
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/02
traffic sign detection
Advanced Driver Assistance
Fast R-CNN
convolutional neural networks
deep learning
Face Occlusion Detection Using Deep Convolutional Neural Networks
会议论文
作者:
Xia, Yizhang
;
Zhang, Bailing
;
Coenen, Frans
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
multi-task learning (MTL)
Automated teller machine (ATM)
convolutional neural network (CNN)
face occlusion detection
Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions
会议论文
作者:
Qian, Rongqiang
;
Yue, Yong
;
Coenen, Frans
;
Zhang, Bailing
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
deep learning
Advanced Driver Assistance
traffic sign recognition
max pooling
convolutional neural networks
Driving posture recognition by convolutional neural networks
会议论文
作者:
Yan, Chao
;
Zhang, Bailing
;
Coenen, Frans
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Convolutional neural network
Convolutional Neural Networks (CNN)
Discriminative features
Driver vigilance monitoring
Driving assistance systems
Driving posture
Intelligent driver assistance systems
Unsupervised feature learning
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