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Phase spectrum based automatic ship detection in synthetic aperture radar images

Journal of Ocean engineering and Science 2021年第2期6卷 185-195页

作者： Miaohui Zhang Baojun Qiao Ming Xin Bo Zhang Henan Key Laboratory of Big Data Analysis and Processing Henan UniversityKaifengChina Institute of Data and Knowledge Engineering Henan UniversityKaifengChina School of Computer Science and Engineering Beihang UniversityBeijingChina

This paper proposes an automatic ship detection approach in Synthetic Aperture Radar(SAR)Images using phase *** proposed method mainly contains two stages:Firstly,sea-land segmentation of SAR Images is one of the key stages for SAR image application such as sea-targets detection and recognition,which are easily detected only in sea *** order to eliminate the influence of land regions in SAR images,a novel land removing method is *** removing method employs a Harris corner detector to obtain some image patches belonging to land,and the probability density function(PDF)of land area can be estimated by these ***,an appropriate land segmentation threshold is accordingly ***,an automatic ship detector based on phase spectrum is *** proposed detector is free from various idealized assumptions and can accurately detect ships in SAR *** results demonstrate the efficiency of the proposed ship detection algorithm in diversified SAR images.

关键词： Ship detection saliency detection phase spectrum sea-land segmentation

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Metadata-enhanced exploration of digital cultural collections

Metadata-enhanced exploration of digital cultural collection...

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作者： Hampson, Cormac Lawless, Séamus Bailey, Eoin Steiner, Christina M. Hillemann, Eva-Catherine Conlan, Owen Knowledge and Data Engineering Group Trinity College Dublin Ireland Knowledge Technologies Institute Graz University of Technology Austria

The increased digitisation of cultural collections and their availability on the World Wide Web has made access to these valuable documents much easier than ever before. However, despite the increased availability of access to cultural archives, curators still struggle to instigate and enhance engagement with these resources. The CULTURA project is actively addressing this issue through the development of a metadata-driven personalisation environment for exploring cultural collections and instigating collaborations. This paper discusses the state of the art in this area and the various innovative approaches used in the CULTURA project, with a special focus on how the underlying metadata helps to facilitate its semantically rich environment. An evaluation of the CULTURA project with students is detailed, highlighting its relevance for those without domain expertise. This is vital as the system needs to adapt and support a full spectrum of users, from professional researchers to interested members of the public.© 2014 Inderscience Enterprises Ltd.

关键词： Metadata

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Preventing Recommendation Attack in Trust-Based Recommender Systems

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Journal of Computer Science & Technology 2011年第5期26卷 823-828页

作者：张富国 School of Information and Technology Jiangxi University of Finance and Economics Institute of Information Resource Management Jiangxi University of Finance and Economics Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics

Despite its success,similarity-based collaborative filtering suffers from some limitations,such as scalability,sparsity and recommendation *** work has shown incorporating trust mechanism into traditional collaborative filtering recommender systems can improve these *** argue that trust-based recommender systems are facing novel recommendation attack which is different from the profile injection attacks in traditional recommender *** the best of our knowledge,there has not any prior study on recommendation attack in a trust-based recommender *** analyze the attack problem,and find that ＂victim＂ nodes play a significant role in the ***,we propose a data provenance method to trace malicious users and identify the ＂victim＂ nodes as distrust users of recommender *** study of the defend method is done with the dataset crawled from Epinions website.

关键词： data lineage "victim" node attack trust propagation

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A new competitive ensemble algorithm (ERAB)

A new competitive ensemble algorithm (ERAB)

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2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014

作者： Feng, Honghai Huang, Junhui Liu, Lijuan Zou, Kaiwei Ran, Zhuo Zhu, Qiannan Ji, Lijin Liu, Sai Lu, Xiangyong School of Computer and Information Engineering Institute of Data and Knowledge Engineering Henan University Kaifeng Henan475001 China

ISBN: (纸本)1601322763

Ensemble algorithms are popular methods for improving the accuracy of a classifier. This paper proposes a rough set based ensemble algorithm that generates 10 rules for every instance and assigns one rule to one base classifier to construct an ensemble learner (Every rules for a base classifier, ERAB). We run an experiment of the new ensemble algorithm on 68 datasets compared with other 20 existing ensemble methods, and results show that the new algorithm is more accurate than the 20 prevailing ensemble algorithms in terms of 8 performances measures. ©2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP *** right reserved.

关键词： Rough set theory

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ViGT: proposal-free video grounding with a learnable token in the transformer

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Science China(Information Sciences) 2023年第10期66卷 196-212页

作者： Kun LI Dan GUO Meng WANG School of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Intelligent Interconnected Systems Laboratory of Anhui Province Institute of Artificial Intelligence Hefei Comprehensive National Science Center

The video grounding(VG) task aims to locate the queried action or event in an untrimmed video based on rich linguistic descriptions. Existing proposal-free methods are trapped in the complex interaction between video and query, overemphasizing cross-modal feature fusion and feature correlation for VG. In this paper, we propose a novel boundary regression paradigm that performs regression token learning in a transformer. Particularly, we present a simple but effective proposal-free framework, namely video grounding transformer(ViGT), which predicts the temporal boundary using a learnable regression token rather than multi-modal or cross-modal features. In ViGT, the benefits of a learnable token are manifested as follows.(1) The token is unrelated to the video or the query and avoids data bias toward the original video and query.(2) The token simultaneously performs global context aggregation from video and query ***, we employed a sharing feature encoder to project both video and query into a joint feature space before performing cross-modal co-attention(i.e., video-to-query attention and query-to-video attention) to highlight discriminative features in each modality. Furthermore, we concatenated a learnable regression token [REG] with the video and query features as the input of a vision-language transformer. Finally, we utilized the token [REG] to predict the target moment and visual features to constrain the foreground and background probabilities at each timestamp. The proposed ViGT performed well on three public datasets:ANet-Captions, TACoS, and YouCookⅡ. Extensive ablation studies and qualitative analysis further validated the interpretability of ViGT.

关键词： video grounding temporal sentence grounding boundary regression token learning proposal-free

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Incremental processing of noisy user utterances in the spoken language understanding task 5

Incremental processing of noisy user utterances in the spoke...

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5th Workshop on Noisy User-Generated Text, W-NUT@EMNLP 2019

作者： Constantin, Stefan Niehues, Jan Waibel, Alex Karlsruhe Institute of Technology Institute for Anthropomatics and Robotic Maastricht University Department of Data Science and Knowledge Engineering Netherlands

ISBN: (纸本)9781950737840

The state-of-the-art neural network architectures make it possible to create spoken language understanding systems with high quality and fast processing time. One major challenge for real-world applications is the high latency of these systems caused by triggered actions with high executions times. If an action can be separated into subactions, the reaction time of the systems can be improved through incremental processing of the user utterance and starting subactions while the utterance is still being uttered. In this work, we present a model-agnostic method to achieve high quality in processing incrementally produced partial utterances. Based on clean and noisy versions of the ATIS dataset, we show how to create datasets with our method to create low-latency natural language understanding components. We get improvements of up to 47.91 absolute percentage points in the metric F1-score. © 2019 Association for Computational Linguistics

关键词： Network architecture

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One tag to bind them all: Measuring term abstractness in social metadata?

One tag to bind them all: Measuring term abstractness in soc...

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Symposium on Learning, knowledge, and Adaptivity 2011, LWA 2011

作者： Benz, Dominik Körner, Christian Hotho, Andreas Stumme, Gerd Strohmaier, Markus Knowledge and Data Engineering Group University of Kassel Germany Knowledge Management Institute Graz University of Technology Austria Data Mining and Information Retrieval Group University of Wurzburg Germany

Recent research has demonstrated how the widespread adoption of collaborative tagging systems yields emergent semantics. In recent years, much has been learned about how to harvest the data produced by taggers for engineering light-weight ontologies. For example, existing measures of tag similarity and tag relatedness have proven crucial step stones for making latent semantic relations in tagging systems explicit. However, little progress has been made on other issues, such as understanding the different levels of tag generality (or tagabstrcatsness), which is essential for, among others, identifying hierarchical relationships between concepts. In this paper we aim to address this gap. Starting from a review of linguistic definitions of wordabstrcatness, we first use several large-scale ontologies and taxonomies as grounded measures of word generality, including Yago, Wordnet, DMOZ and Wikitaxonomy. Then, we introduce and apply several folksonomy-based methods to measure the level of generality of given tags. We evaluate these methods by comparing them with the grounded measures. Our results suggest that the generality of tags in social tagging systems can be approximated with simple measures. Our work has implications for a number of problems related to social tagging systems, including search, tag recommendation, and the acquisition of light-weight ontologies from tagging data.

关键词： Ontology

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CSMCCVA:Framework of cross-modal semantic mapping based on cognitive computing of visual and auditory sensations

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High Technology Letters 2016年第1期22卷 90-98页

作者：刘扬 Zheng Fengbin Zuo Xianyu Laboratory of Spatial Information Processing Henan University College of Computer Science and Information Engineering Henan University College of Environment and Planning Henan University Institute of Data and Knowledge Engineering Henan University

Cross-modal semantic mapping and cross-media retrieval are key problems of the multimedia search *** study analyzes the hierarchy,the functionality,and the structure in the visual and auditory sensations of cognitive system,and establishes a brain-like cross-modal semantic mapping framework based on cognitive computing of visual and auditory *** mechanism of visual-auditory multisensory integration,selective attention in thalamo-cortical,emotional control in limbic system and the memory-enhancing in hippocampal were considered in the ***,the algorithms of cross-modal semantic mapping were *** results show that the framework can be effectively applied to the cross-modal semantic mapping,and also provides an important significance for brain-like computing of non-von Neumann structure.

关键词： multimedia neural cognitive computing (MNCC) brain-like computing cross-modal semantic mapping (CSM) selective attention limbic system multisensory integration memory-enhancing mechanism

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A decision support system with distributed agents for large-scale process control

A decision support system with distributed agents for large-...

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2007 Mediterranean Conference on Control and Automation, MED

作者： Prayati, A. Stathaki, A. Furusjo, E. King, R.E. Data and Knowledge Engineering Group Computer Technology Institute Athens Greece Environmental Research Institute IVL Stockholm Sweden

ISBN: (纸本)142441282X

As CIM systems are being developed to assist plant managers and operators with real-time monitoring and control, the need for Decision Support Systems (DSS) becomes apparent so as to investigate alternative control strategies, fault diagnosis and alarming situations. As processes become more complex the need to consider also the environmental impact, on top of the commonly used economical factors, leads to new system architectures and multi-objective optimization. In this paper, a DSS architecture is presented considering distributed agents taking into account a multiplicity of impact factors in order to improve overall process operation. ©2007 IEEE.

关键词： Decision support systems

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A context-based requirement acquisition and description method

A context-based requirement acquisition and description meth...

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6th International Conference on Internet Computing for Science and engineering, ICICSE 2012

作者： Han, Daojun Zhou, Ke Ma, Yuxiang Fang, Caili Institute of Data and Knowledge Engineering Henan University KaiFeng China School of Computer and Information Engineering Henan University KaiFeng China

ISBN: (纸本)9780769547053

Requirement analysis, including requirement acquire and requirement description, is a process of determining user expectations for a new or modified software product. The process may also affect the others sectors in software development. The context is a fundamental and important object. It is a tool of formal concept analysis utilized in some areas. In this paper, we build a requirement acquire method called Combined Scenario and Viewpoint (CSV) method. The CSV can describe the correct requirements of system based on context. The experiments verify the method's effectiveness, feasibility and applicability. © 2012 IEEE.

关键词： Formal concept analysis

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