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Trusted multi-view classification with dynamic evidential fusion
Existing multi-view classification algorithms focus on promoting accuracy by exploiting
different views, typically integrating them into common representations for follow-up tasks …
different views, typically integrating them into common representations for follow-up tasks …
Feature selection with multi-view data: A survey
This survey aims at providing a state-of-the-art overview of feature selection and fusion
strategies, which select and combine multi-view features effectively to accomplish …
strategies, which select and combine multi-view features effectively to accomplish …
Multimodal fusion for multimedia analysis: a survey
This survey aims at providing multimedia researchers with a state-of-the-art overview of
fusion strategies, which are used for combining multiple modalities in order to accomplish …
fusion strategies, which are used for combining multiple modalities in order to accomplish …
Trusted multi-source information fusion for fault diagnosis of electromechanical system with modified graph convolution network
Vibration, current, and acoustic signals have different advantages and characteristics in fault
diagnosis. Although a few researches have explored their fusion methods and applied them …
diagnosis. Although a few researches have explored their fusion methods and applied them …
[PDF][PDF] 多媒体传感器网络及其研究进展
马华东, 陶丹 - 软件学报, 2006 - Citeseer
作为一种全新的信息获取和处理技术, 多媒体传感器网络较之传统传感器网络更多地关注于音频
, 视频, 图像等大数据量, 大信息量媒体的采集与处理, 在军事, 民用及商业领域中具有广阔的应用 …
, 视频, 图像等大数据量, 大信息量媒体的采集与处理, 在军事, 民用及商业领域中具有广阔的应用 …
[کتاب][B] Distributed sensor networks
SS Iyengar, RR Brooks - 2004 - taylorfrancis.com
The vision of researchers to create smart environments through the deployment of
thousands of sensors, each with a short range wireless communications channel and …
thousands of sensors, each with a short range wireless communications channel and …
Feature correlation hypergraph: exploiting high-order potentials for multimodal recognition
In computer vision and multimedia analysis, it is common to use multiple features (or
multimodal features) to represent an object. For example, to well characterize a natural …
multimodal features) to represent an object. For example, to well characterize a natural …
An adaptive classification system for video-based face recognition
In many practical applications, new information may emerge from the environment at
different points in time after a classification system has originally been deployed. For …
different points in time after a classification system has originally been deployed. For …
Ambiguity function analysis of wireless LAN transmissions for passive radar
Wireless transmission is becoming an increasingly widely available source of transmissions
for passive radar detection. In this paper, we present a detailed analysis of the ambiguity …
for passive radar detection. In this paper, we present a detailed analysis of the ambiguity …
Multi-vehicle localization by distributed MHE over a sensor network with sporadic measurements: Further developments and experimental results
This paper proposes a Distributed Moving Horizon Estimation (DMHE) approach performed
by an external static Sensor Network (SN) composed of surveillance cameras and their …
by an external static Sensor Network (SN) composed of surveillance cameras and their …