Mining Frequent Flows Based on Adaptive Threshold with a Sliding Window over Online Packet Stream

2009 International Conference on Communication Software and Networks ◽

10.1109/iccsn.2009.43 ◽

2009 ◽

Author(s):

Zhen Zhang ◽

Binqiang Wang ◽

Shuqiao Chen ◽

Ke Zhu

Keyword(s):

Sliding Window ◽

Adaptive Threshold

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A new algorithm for adaptive threshold generation in robust fault detection based on a sliding window and global optimization

1999 European Control Conference (ECC) ◽

10.23919/ecc.1999.7099532 ◽

1999 ◽

Author(s):

Vicenc Puig ◽

Jordi Saludes ◽

Joseba Quevedo

Keyword(s):

Global Optimization ◽

Fault Detection ◽

Sliding Window ◽

Adaptive Threshold ◽

Robust Fault Detection

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Adaptive Threshold Control for a 1-bit ADC in a Low Complex IR-UWB Receiver

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e92.a.677 ◽

2009 ◽

Vol E92-A (2) ◽

pp. 677-680

Author(s):

Soon-Woo LEE ◽

Young-Jin PARK ◽

Yong-Hwa KIM ◽

Kwan-Ho KIM

Keyword(s):

Adaptive Threshold ◽

Threshold Control ◽

Low Complex ◽

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Sliding Window-Based Transmit Antenna Selection Technique for Large-Scale MU-MIMO Networks

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e97.a.1640 ◽

2014 ◽

Vol E97.A (7) ◽

pp. 1640-1641 ◽

Author(s):

Tae-Won BAN ◽

Bang Chul JUNG

Keyword(s):

Large Scale ◽

Antenna Selection ◽

Sliding Window ◽

Transmit Antenna Selection ◽

Selection Technique ◽

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Faculty Opinions recommendation of Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.725982921.793526188 ◽

2016 ◽

Author(s):

Naoki Masuda

Keyword(s):

Functional Connectivity ◽

Resting State ◽

Sliding Window ◽

Resting State Fmri ◽

Dynamic Functional Connectivity

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Faculty Opinions recommendation of Order effects in two-alternative forced-choice tasks invalidate adaptive threshold estimates.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.737664506.793574551 ◽

2020 ◽

Author(s):

David H Foster

Keyword(s):

Adaptive Threshold ◽

Forced Choice ◽

Order Effects ◽

Forced Choice Tasks ◽

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Sparsity adaptive matching pursuit algorithm based on adaptive threshold for OFDM sparse channel estimation

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.01508 ◽

2013 ◽

Vol 33 (6) ◽

pp. 1508-1510

Author(s):

Shan JIANG ◽

Hongbing QIU ◽

Xu HAN

Keyword(s):

Channel Estimation ◽

Matching Pursuit ◽

Adaptive Threshold ◽

Sparse Channel Estimation ◽

Matching Pursuit Algorithm ◽

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Improved Canny edge detection method based on self-adaptive threshold

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.02296 ◽

2013 ◽

Vol 32 (8) ◽

pp. 2296-2298 ◽

Author(s):

Fan ZHANG ◽

Zhong-wei PENG ◽

Shui-jin MENG

Keyword(s):

Edge Detection ◽

Detection Method ◽

Adaptive Threshold ◽

Canny Edge Detection ◽

Edge Detection Method ◽

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Application of geometric moving average martingale algorithm in anomaly analysis before earthquake based on sliding window

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.03608 ◽

2013 ◽

Vol 33 (12) ◽

pp. 3608-3610 ◽

Author(s):

Liping CHEN ◽

Xiangzen KONG ◽

Zhi ZHENG ◽

Xinqi LIN ◽

Xiaoshan ZHAN

Keyword(s):

Moving Average ◽

Sliding Window ◽

Anomaly Analysis

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Improved sliding window non-parameter cumulation sum algorithm

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.00088 ◽

2013 ◽

Vol 33 (1) ◽

pp. 88-91 ◽

Author(s):

Bo CHEN ◽

Jianlin MAO ◽

Guanhua QIAO ◽

Ning DAI

Keyword(s):

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A Moving Object Detection Method Based on Sliding Window Gaussian Mixture Model

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2012.01449 ◽

2014 ◽

Vol 35 (7) ◽

pp. 1650-1656 ◽

Author(s):

Jian-ying Zhou ◽

Xiao-pei Wu ◽

Chao Zhang ◽

Zhao Lü

Keyword(s):

Object Detection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Detection Method ◽

Sliding Window ◽

Gaussian Mixture ◽

Moving Object Detection ◽

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