全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Chang Che , Xiaoyang Yu , Xiaoming Sun ...
来源:[J].EURASIP Journal on Advances in Signal Processing(IF 0.807), 2017, Vol.2017 (1), pp.1-13Springer
摘要:... In this paper, a new image retrieval framework that incorporates a robust distance metric and information fusion is proposed, which improves the retrieval performance relative to the baseline SVT approach. First, the visual words that represent the background are diminished b...
作者:ZhongLiang Jing , Han Pan , YanYuan Qin
来源:[J].Chinese Science Bulletin(IF 1.319), 2013, Vol.58 (36), pp.4533-4540Springer
摘要:Abstract(#br)Information fusion is a challenging task to extract the required information for high-level applications from various homogeneous or heterogeneous sensors. This paper summarizes some improvements in recent five years in the presented structure of information fusion...
作者:Ruixia Xu
来源:[J].EURASIP Journal on Wireless Communications and Networking(IF 0.54), 2019, Vol.2019 (1), pp.1-8Springer
摘要:... Compared with traditional path planning with single sensor information, Kalman filter is used to fuse multi-sensor information, and path planning method based on improved dynamic artificial potential field method is studied. Using the improved dynamic artificial potential fie...
作者:Kuo-Lan Su , You-Min Jau , Jin-Tsong Jeng
来源:[J].Sensors(IF 1.953), 2011, Vol.11 (3), pp.2426DOAJ
摘要:Modern information fusion systems essentially associate decision-making processes with multi-sensor systems. Precise decision-making processes depend upon aggregating useful information extracted from large numbers of messages or large datasets; meanwhile, the distributed multi-s...
作者:Guoqing Weng , Feiteng Huang , Jun Yan ...
来源:[J].Energies(IF 1.844), 2016, Vol.9 (12)DOAJ
摘要:This paper proposed a fault-tolerant approach based on information fusion (IF) to automatically locate the transient voltage disturbance source (TVDS) in smart distribution grids. We first defined three credibility factors that will influence the reliability of the direction-judg...
作者:Feng Li , Jun Fei
来源:[J].Personal and Ubiquitous Computing(IF 1.133), 2019, Vol.23 (3-4), pp.487-497Springer
摘要:Abstract(#br)Combining image information fusion theory with machine learning for biometric recognition is an important field in computer vision research in recent years. Based on this, a gesture recognition algorithm based on image information fusion in virtual reality is propose...
作者:Futoshi Asano , Kiyoshi Yamamoto , Isao Hara ...
来源:[J].EURASIP Journal on Advances in Signal Processing(IF 0.807), 2004, Vol.2004 (11), pp.1-12Springer
摘要:Abstract(#br)A method of detecting speech events in a multiple-sound-source condition using audio and video information is proposed. For detecting speech events, sound localization using a microphone array and human tracking by stereo vision is combined by a Bayesian network. Fro...
作者:Felipe Jiménez , Jose Eugenio Naranjo , Francisco Serradilla ...
来源:[J].Sensors(IF 1.953), 2016, Vol.16 (1)DOAJ
摘要:... This system is based on an application for smartphones and includes knowledge of the vehicle position via Ground Positioning System (GPS), access to intravehicular information from onboard sensors through the Controller Area Network (CAN) bus, vehicle data entry by the drive...
作者:Bo Shen , Seungmin Rho , Xingshe Zhou ...
来源:[J].Information Fusion(IF 2.262), 2017, Vol.36, pp.68-79Elsevier
摘要:Abstract(#br)Information fusion is an efficient way to detect the specified events and extract useful information, especially in the context of big data. As a large-scale data-gathering system, Internet of Things (IoT) has the traffic with the mixed timing characteristics. The re...
作者:Ali K. Raz , C. Robert Kenley , Daniel A. DeLaurentis
来源:[J].Information Fusion(IF 2.262), 2017, Vol.35, pp.148-165Elsevier
摘要:Abstract(#br)This paper provides a System-of-Systems (SoS) perspective for integrated design and evaluation of an Information Fusion System (IFS). IFS is comprised of distributed and heterogeneous systems that accomplish low-level and high-level information fusion (LLIF and HLIF...

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