中国科学院机构知识库网格系统: 检索

Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction 期刊论文 OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 3, 页码: 1311-1327
作者: Yin, Yanting; Wu, Yajing; Yang, Xuebing; Zhang, Wensheng; Yuan, Xiaojie

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收藏 | 浏览/下载：34/0 | 提交时间：2024/05/30

Noise measurement Feature extraction Task analysis Superresolution Data mining Predictive models Information processing Temporal link prediction dynamic graphs super-resolution conditional normalizing flow

The modulating effect of musical expertise on lexical-semantic prediction in speech-in-noise comprehension: Evidence from an EEG study 期刊论文 OAI收割
PSYCHOPHYSIOLOGY, 2023, 页码: 21
作者: Zheng, Yuanyi; Gao, Panke; Li, Xiaoqing

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收藏 | 浏览/下载：22/0 | 提交时间：2023/10/09

ERPs lexical-semantic prediction musical expertise N400 speech-in-noise comprehension

A Robust Infrared Small Target Detection Method Jointing Multiple Information and Noise Prediction: Algorithm and Benchmark 期刊论文 OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 17
作者: Meng, Siqiang; Zhang, Congxuan; Shi, Qi; Chen, Zhen; Hu, Weiming

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收藏 | 浏览/下载：19/0 | 提交时间：2023/11/17

Dataset infrared small target detection (IRSTD) multiple information noise prediction regional positioning

Time-Series Prediction of Environmental Noise for Urban IoT Based on Long Short-Term Memory Recurrent Neural Network 期刊论文 OAI收割
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 3, 页码: 1-6
作者: Zhang, Xueqi; Zhao, Meng; Dong, Rencai

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收藏 | 浏览/下载：26/0 | 提交时间：2021/08/31

environmental noise noise prediction noise pollution Internet of Things

Applications of the Bounded Total Variation Denoising Method to Urban Traffic Analysis 期刊论文 OAI收割
EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, 2019, 卷号: 9, 期号: 3, 页码: 622-642
作者: Tang, Shanshan; Yu, Haijun

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收藏 | 浏览/下载：49/0 | 提交时间：2020/01/10

Urban traffic prediction bounded variation denoising noise estimate cluster analysis

Differential function analysis: identifying structure and activation variations in dysregulated pathways 期刊论文 OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2017, 卷号: 60, 期号: 1, 页码: -
作者: Zhang, Chuanchao; Liu, Juan; Shi, Qianqian; Zeng, Tao; Chen, Luonan

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收藏 | 浏览/下载：32/0 | 提交时间：2019/04/28

Nonnegative Matrix Factorization Early-warning Signals Complex Diseases Microarray Data Gastric-cancer Module Network Prediction Discovery Ontology Noise

Differential function analysis: identifying structure and activation variations in dysregulated pathways 期刊论文 OAI收割
Science China. Information Science, 2017, 卷号: 60, 期号: 1
作者: Chen Luonan; Zeng Tao; Shi Qianqian; Zhang Chuanchao; Liu Juan

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收藏 | 浏览/下载：33/0 | 提交时间：2020/07/01

NONNEGATIVE MATRIX FACTORIZATION EARLY-WARNING SIGNALS COMPLEX DISEASES MICROARRAY DATA GASTRIC-CANCER MODULE NETWORK PREDICTION DISCOVERY ONTOLOGY NOISE complex disease biological function non-negative matrix factorization network structure function activation

Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting SCI/SSCI论文 OAI收割
2013
Sang Y. F.

收藏 | 浏览/下载：32/0 | 提交时间：2014/12/24

Hydrologic time series forecasting Wavelet Black-box model Noise Statistical analysis Uncertainty artificial neural-network uncertainty assessment runoff identification decomposition conjunction variability prediction

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：114/0 | 提交时间：2013/03/25

Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文 OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T.

收藏 | 浏览/下载：70/0 | 提交时间：2013/03/25

In the transportation monitor system we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately the arithmetic proposed in the paper can suppress shadow availably we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE. and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering