Results 11 to 20 of about 314,083 (295)
Joint Attention Mechanism for Person Re-Identification
Although person re-identification (ReID) has drawn increasing research attention due to its potential to address the problem of analysis and processing of massive monitoring data, it is very challenging to learn discriminative information when the people
Shanshan Jiao +5 more
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Pseudo Labels and Soft Multi-Part Corresponding Similarity for Unsupervised Deep Hashing
In recent years, unsupervised deep hashing methods have achieved great success in large-scale image retrieval. However, these approaches still suffer two major problems in real world applications. On the one hand, due to the lack of effective supervision
Huiying Li +4 more
doaj +1 more source
Re-Envisioning Command and Control [PDF]
Future warfare will require Command and Control (C2) decision-making to occur in more complex, fast-paced, ill-structured, and demanding conditions. C2 will be further complicated by operational challenges such as Denied, Degraded, Intermittent, and ...
Kaleb McDowell +4 more
semanticscholar +1 more source
How to Make Attention Mechanisms More Practical in Malware Classification
Malware and its variants continue to pose a threat to network security. Machine learning has been widely used in the field of malware classification, but some emerging studies, such as attention mechanisms, are rarely applied in this field. In this paper,
Xin Ma +6 more
doaj +1 more source
Adaptive Service Function Chain Scheduling in Mobile Edge Computing via Deep Reinforcement Learning
MEC (Mobile Edge Computing) provides both IT service environment and cloud computation on the edge of the network. This technology not only minimizes the end-to-end latency but also increases the efficiency of computing.
Tianfeng Wang +3 more
doaj +1 more source
With the development of network technology such as software-defined network (SDN) and network function virtualization (NFV), Internet service providers (ISPs) are increasingly placing the virtual network function(VNF) instances at the network edge to ...
Jiachen Zu +4 more
doaj +1 more source
Augmented Cucker-Smale Model for Distributed Optimization
The Cucker-Smale (C-S) model describes an interacting particle system in which the connection weights decrease with increasing distance. This model features emergent behaviors by which the velocities of the particles converge to a common value without a ...
Qiao Zhang +4 more
doaj +1 more source
Ontology Alignment Repair Through 0-1 Programming
In order to solve the problem of lack of effective methods for ontology inconsistency, a user preferences-oriented ontology alignment repair model is proposed.
Wenning Hao +5 more
doaj +1 more source
Contrastive Self-Supervised Hashing With Dual Pseudo Agreement
Recently, unsupervised deep hashing has attracted increasing attention, mainly because of its potential ability to learn binary codes without identity annotations.
Yang Li +4 more
doaj +1 more source
UAV Command and Control, Navigation and Surveillance: A Review of Potential 5G and Satellite Systems [PDF]
Drones, unmanned aerial vehicles (UAVs), or unmanned aerial systems (UAS)are expected to be an important component of 5G/beyond 5G (B5G) communications.
Nozhan Hosseini +4 more
semanticscholar +1 more source

