How to effectively summarize a large-scale image collection is still an important and open problem. In this paper, we propose a novel method to effectively generate a summary of the social image collection using image...
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The development of intelligent virtual environments is a demanding process due to their increased complexity and the need for integration of diverse technologies. Substantial efforts are made to address the issue in a...
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This paper considers the problem of constructing data aggregation trees in wireless sensor networks (WSNs)for a group of sensor nodes to send collected information to a single sink *** data aggregation tree contains t...
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This paper considers the problem of constructing data aggregation trees in wireless sensor networks (WSNs)for a group of sensor nodes to send collected information to a single sink *** data aggregation tree contains the sink node,all the source nodes,and some other non-source *** goal of constructing such a data aggregation tree is to minimize the number of non-source nodes to be included in the tree so as to save *** prove that the data aggregation tree problem is NP-hard and then propose an approximation algorithm with a performance ratio of four and a greedy *** also give a distributed version of the approximation *** simulations are performed to study the performance of the proposed *** results show that the proposed algorithms can find a tree of a good approximation to the optimal tree and has a high degree of scalability.
Given that millions of images are uploaded to the social web in a single day, how to effectively retrieve such increasing amounts of unstructured data becomes crucial. While current social platforms find images on the...
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The rising threat of disinformation underscores the need to fully or partially automate the fact-checking process. Identifying text segments requiring fact-checking is known as claim detection (CD) and claim check-wor...
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Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. While the effectiveness of AL for fine-tuning transformer-based pre-trained language models (PLMs) has be...
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Supervised machine learning has become the cornerstone of today’s data-driven society, increasing the need for labeled data. However, the process of acquiring labels is often expensive and tedious. One possible remed...
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Cross-lingual image captioning, with its ability to caption an unlabeled image in a target language other than English, is an emerging topic in the multimedia field. In order to save the precious human resource from r...
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In this paper we present the Standards Enforcer Pattern (SEP). The remit of SEP is to enable the ontological modelling of processes, activities, operations and services that enforce guideline(s) recommended by a speci...
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In this paper we present the Standards Enforcer Pattern (SEP). The remit of SEP is to enable the ontological modelling of processes, activities, operations and services that enforce guideline(s) recommended by a specific standard and need to explicitly indicate their conformance to it. The pattern allows the inclusion of minimalistic information regarding the conformance, while retaining the flexibility to extend the ontological primitives as required. As an exemplifier for the pattern, we present a use case from the algal biomass domain. We model the process of algal biomass production that enforces the Minimum Descriptive Language (MDL) standard for algal operations.
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