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检索条件"机构=Information and Communication Technology Programme"
38 条 记 录,以下是1-10 订阅
排序:
Plant Disease Identification Through Study of Leaf Images: Consolidated Handcrafted and Automated Features for Enhanced Feature Generalization
Plant Disease Identification Through Study of Leaf Images: C...
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International Conference on Advances in Data Science and Computing Technologies, ASDC 2022
作者: Das, Aniket Das, Piyasi Chakrabarti, Amlan Das, Rik Dutta, Chira Department of Electronics and Communication Engineering Netaji Subhash Engineering College Ranabhutia Garia India A.K. Choudhury School University of Calcutta Kolkata India Programme of Information Technology Xavier Institute of Social Services Ranchi India
Due to rapid growth in agriculture yield and enhanced demand in the last three decades of Indian cultivation and agriculture, farmers are facing emerging issues of new pests and infectious microbes. Addressing the hig... 详细信息
来源: 评论
Multi-Level Reversible Encryption for ECG Signals Using Compressive Sensing
Multi-Level Reversible Encryption for ECG Signals Using Comp...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Mikko Impio Mehmet Yamac Jenni Raitoharju Faculty of Information Technology and Communication Sciences Tampere University Finland Programme for Environmental Information Finnish Environment Institute Jyvaskyla Finland
Privacy concerns in healthcare have gained interest recently via GDPR, with a rising need for privacy-preserving data collection methods that keep personal information hidden in otherwise usable data. Sometimes data n... 详细信息
来源: 评论
Multi-level reversible encryption for ECG signals using compressive sensing
arXiv
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arXiv 2021年
作者: Impiö, Mikko Yamaç, Mehmet Raitoharju, Jenni Faculty of Information Technology and Communication Sciences Tampere University Finland Programme for Environmental Information Finnish Environment Institute Jyväskylä Finland
Privacy concerns in healthcare have gained interest recently via GDPR, with a rising need for privacy-preserving data collection methods that keep personal information hidden in otherwise usable data. Sometimes data n... 详细信息
来源: 评论
Ensembling Object Detectors for Image and Video Data Analysis
Ensembling Object Detectors for Image and Video Data Analysi...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Kateryna Chumachenko Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj Faculty of Information Technology and Communication Sciences Tampere University Finland Programme for Environmental Information Finnish Environment Institute Finland Aarhus University Denmark
In this paper, we propose a method for ensembling the outputs of multiple object detectors for improving detection performance and precision of bounding boxes on image data. We further extend it to video data by propo... 详细信息
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IoT Prototype System for Healthcare on Monitoring of Knee Osteoarthritis Treatment Patients  2
IoT Prototype System for Healthcare on Monitoring of Knee Os...
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2nd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2020
作者: Amplod, Supalak Choksuchat, Chidchanok Sopitpan, Suwat Prince of Songkla University Information and Communication Technology Programme Faculty of Science Thailand National Electronics and Computer Technology Center Center for Cyber-Physical Systems Thailand
Currently, there are many numbers of patients with knee osteoarthritis (KOA) which is the most common joint pain of osteoarthritis (OA). Joint stiffness and pain in the knee are the KOA symptoms depending on many caus... 详细信息
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Non-Linear Spectral Dimensionality Reduction Under Uncertainty
arXiv
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arXiv 2022年
作者: Laakom, Firas Raitoharju, Jenni Passalis, Nikolaos Iosifidis, Alexandros Gabbouj, Moncef Faculty of Information Technology and Communication Sciences Tampere University Tampere Finland The Programme for Environmental Information Finnish Environment Institute Jyväskylä Finland The Department of Informatics Aristotle University of Thessaloniki Greece The Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark
In this paper, we consider the problem of non-linear dimensionality reduction under uncertainty, both from a theoretical and algorithmic perspectives. Since real-world data usually contain measurements with uncertaint... 详细信息
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Ensembling object detectors for image and video data analysis
arXiv
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arXiv 2021年
作者: Chumachenko, Kateryna Raitoharju, Jenni Iosifidis, Alexandros Gabbouj, Moncef Tampere University Faculty of Information Technology and Communication Sciences Finland Finnish Environment Institute Programme for Environmental Information Finland Aarhus University Department of Electrical and Computer Engineering Denmark
In this paper, we propose a method for ensembling the outputs of multiple object detectors for improving detection performance and precision of bounding boxes on image data. We further extend it to video data by propo... 详细信息
来源: 评论
Learning distinct features helps, provably
arXiv
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arXiv 2021年
作者: Laakom, Firas Raitoharju, Jenni Iosifidis, Alexandros Gabbouj, Moncef Faculty of Information Technology and Communication Sciences Tampere University Finland Faculty of Information Technology University of Jyväskylä Finland Programme for Environmental Information Finnish Environment Institute Jyväskylä Finland Department of Electrical and Computer Engineering Aarhus University Denmark
We study the diversity of the features learned by a two-layer neural network trained with the least squares loss. We measure the diversity by the average L2-distance between the hidden-layer features and theoretically... 详细信息
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Graph-Embedded Subspace Support Vector Data Description
arXiv
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arXiv 2021年
作者: Sohrab, Fahad Iosifidis, Alexandros Gabbouj, Moncef Raitoharju, Jenni Faculty of Information Technology and Communication Sciences Tampere University TampereFI-33720 Finland Department of Electrical and Computer Engineering Aarhus University AarhusDK-8200 Denmark Programme for Environmental Information Finnish Environment Institute JyväskyläFI-40500 Finland
In this paper, we propose a novel subspace learning framework for one-class classification. The proposed framework presents the problem in the form of graph embedding. It includes the previously proposed subspace one-... 详细信息
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Boosting rare benthic macroinvertebrates taxa identification with one-class classification
arXiv
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arXiv 2020年
作者: Sohrab, Fahad Raitoharjuy, Jenni Faculty of Information Technology and Communication Sciences Tampere University Tampere Finland Programme for Environmental Information Finnish Environment Institute Jyvaskylä Finland
rucial for understanding the consequences of rapid ecological changes, but taxa identification currently requires tedious manual expert work and cannot be scaled-up efficiently. Deep convolutional neural networks (CNN... 详细信息
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