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Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:2284-2297
It is hard to construct an optimal classifier for high-dimensional imbalanced data, on which the performance of classifiers is seriously affected and becomes poor. Although many approaches, such as resampling, cost-sensitive, and ensemble learning me
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:3978-3990
Recent works on learned image compression perform encoding and decoding processes in a full-resolution manner, resulting in two problems when deployed for practical applications. First, parallel acceleration of the autoregressive entropy model cannot
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:1197-1211
Recently, multilabel classification has generated considerable research interest. However, the high dimensionality of multilabel data incurs high costs; moreover, in many real applications, a number of labels of training samples are randomly missed.
Publikováno v:
IEEE Transactions on Information Theory. 68:1545-1559
We propose a new model of asynchronous batch codes that allow for parallel recovery of information symbols from a coded database in an asynchronous manner, i.e. when queries arrive at random times and they take varying time to process. We show that t
Autor:
Qiang Li
Publikováno v:
Neural Networks. 146:85-97
Shannon’s entropy or an extension of Shannon’s entropy can be used to quantify information transmission between or among variables. Mutual information is the pair-wise information that captures nonlinear relationships between variables. It is mor
Publikováno v:
Information Sciences. 584:89-110
Vacating room after encryption (VRAE) is a popular framework of reversible data hiding for encrypted images (RDHEI). Most VRAE based RDHEI methods do not make a desirable payload. To address this issue, this paper proposes a novel data hiding techniq
Publikováno v:
IEEE Transactions on Multimedia. 24:4143-4157
Recently, learning-based image compression model has attracted much attention due to its impressive performance and ease of optimization, compared with traditional DCT and wavelet-based image compression standards. Most learning-based image compressi
Autor:
Gabriela Rocha de Oliveira Fleury, Douglas Vieira do Nascimento, Arlindo Rodrigues Galvão Filho, Filipe de Souza Lima Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho
Publikováno v:
Energies, Vol 13, Iss 24, p 6706 (2020)
Monitoring and management of water levels has become an essential task in obtaining hydroelectric power. Activities such as water resources planning, supply basin management and flood forecasting are mediated and defined through its monitoring. Measu
Externí odkaz:
https://doaj.org/article/4aee19693dfc424684fa3db9ac9fe890
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:4575-4589
Point cloud geometry (PCG) is used to precisely represent arbitrary-shaped 3D objects and scenes, is of great interest to vast applications which puts forward the pressing desire of high-efficiency PCG compression for transmission and storage. Existi