Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ran Tao"'
Publikováno v:
Neurocomputing. 450:70-79
Joint classification of multi-source data is often better than single-source data in application scenes, but it is difficult to ensure effective feature extraction of multi-source information. In this paper, a similar double-concentrate network, deno
Publikováno v:
Information Sciences. 555:85-103
Dynamic multi-criteria decision making (DMCDM) is prevalent in real life, where the evaluations are given sequentially across time and earlier evaluations will influence later ones. Moreover, alternatives and criteria are allowed to vary with time. H
Autor:
Ran Tao, Fuyuan Xiao
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:4285-4298
Group multi-criteria decision-making (GMCDM) is an important part of decision theory, which is aimed to assess alternatives according to multiple criteria by collecting the wisdom of experts. However, in the process of evaluating, because of the limi
Robust Capsule Network Based on Maximum Correntropy Criterion for Hyperspectral Image Classification
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 738-751 (2020)
Recently, deep learning-based algorithms have been widely used for classification of hyperspectral images (HSIs) by extracting invariant and abstract features. In our conference paper presented at IEEE International Geoscience and Remote Sensing Symp
Publikováno v:
IEEE Transactions on Image Processing. 29:8326-8338
In this paper, we present a novel end-to-end learning neural network, i.e., MATNet, for zero-shot video object segmentation (ZVOS). Motivated by the human visual attention behavior, MATNet leverages motion cues as a bottom-up signal to guide the perc
Publikováno v:
IEEE Access. 8:191850-191861
Sentiment analysis or opinion mining is the key to natural language processing for the extraction of useful information from the text documents of numerous sources. Several different techniques, i.e., simple rule-based to lexicon-based and more sophi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:4920-4929
Anomaly detection is an important task in hyperspectral remote sensing. Most widely used detectors, such as Reed–Xiaoli (RX), have been developed only using original spectral signatures, which may lack the capability of signal enhancement and noise
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2021, 59 (9), pp.7817-7830. ⟨10.1109/TGRS.2020.3049014⟩
IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (9), pp.7817-7830. ⟨10.1109/TGRS.2020.3049014⟩
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2021, 59 (9), pp.7817-7830. ⟨10.1109/TGRS.2020.3049014⟩
IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (9), pp.7817-7830. ⟨10.1109/TGRS.2020.3049014⟩
International audience; Tensor-based fusion that couples the high spatial resolution of a multispectral image (MSI) to the high spectral resolution of a hyperspectral image (HSI) is considered. The fusion problem is first formulated mathematically as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6153c18f8aa097af5b1cb1722c4959db
https://hal.archives-ouvertes.fr/hal-03429690
https://hal.archives-ouvertes.fr/hal-03429690
Publikováno v:
Machine Vision and Applications. 32
Facial attribute editing has gained increasing attention recently. Previous methods tackle this challenge by incorporating encoder–decoder and generative adversarial networks. However, the bottleneck layer in encoder–decoder of these methods ofte
Autor:
Ran Tao, Xuejing Kang
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:1919-1932
To ensure the confidentiality of color images during their storage or transmission on insecure networks, a number of encryption methods based on fractional transforms have been proposed and widely investigated. However, most of their outputs are comp