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科研机构
兰州大学 [3]
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会议论文 [3]
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2016 [1]
2010 [1]
2008 [1]
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informatio... [1]
mathematic... [1]
mechanical... [1]
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专题:兰州大学
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Locally linear embedding based on rank-order distance
会议论文
5th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2016, Rome, Italy, February 24, 2016 - February 26, 2016
作者:
Sun, Xili
;
Lu, Yonggang
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浏览/下载:2/0
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提交时间:2017/01/18
Pattern recognition
Clustering algorithms
Data reduction
Nearest neighbor search
Dimension reduction
Euclidean distance measure
High dimensional data
Local configurations
Locally linear embedding
Nearest neighbors
Nonlinear dimension
Rank order
RETRACTED ARTICLE: Image retrieval using pulse-coupled neural networks and correlation coefficient
会议论文
2nd International Conference on Information Engineering and Computer Science, ICIECS 2010, Wuhan, China, December 25, 2010 - December 26, 2010
作者:
Huang, Yanli
;
Li, Bonian
;
Liu, Yingjie
;
Wang, Xiaofei
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浏览/下载:1/0
  |  
提交时间:2017/01/18
Search engines
Computer science
Correlation methods
Entropy
Image retrieval
Neural networks
Rotation
Anti-noise ability
Content based image retrieval
Correlation coefficient
Energy signals
Energy-entropy
Euclidean distance
Geometric invariance
Image feature
Image features
Image retrieval systems
Image rotation
Image similarity
Original images
PCNN
Pulse coupled neural network
Pulse image
Residual signals
Retrieval systems
Similarity measure
Similarity metrics
Standard deviation
Multiple radar time series similarity matching algorithm
会议论文
International Conference on Computer Science and Software Engineering, CSSE 2008, Wuhan, Hubei, China, December 12, 2008 - December 14, 2008
作者:
Xuejun, Chen
;
Xiaoyun, Chen
;
Jijun, Li
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浏览/下载:3/0
  |  
提交时间:2017/01/18
Meteorological radar
Alarm systems
Algorithms
Computers
Software engineering
Time series
Data segments
Distance measure
Euclidean distances
False alarms
False dismissals
Internal structures
Matching methods
Multiple radars
Multiple time series
Observed datum
SBMDTSM algorithm
Similarity measures
Similarity modal
Similarity-matching
Spatial datum
Spatial positions
Time intervals
Weighted factors
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