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of 41
pro vyhledávání: '"Ran Tao"'
Publikováno v:
IEEE Transactions on Cybernetics. 51:4363-4372
Recently, the low-rank and sparse decomposition model (LSDM) has been used for anomaly detection in hyperspectral imagery. The traditional LSDM assumes that the sparse component where anomalies and noise reside can be modeled by a single distribution
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 Transactions on Instrumentation and Measurement. 69:183-193
Histopathology image is an important basis for pathologists to evaluate disease at the cellular level and colon cancer tissue sections usually contain many different types of nuclei, which should be automatically detected and identified. However, the
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 Signal Processing Letters. 26:1556-1560
Human action recognition based on deep-learning methods have received increasing attention and developed rapidly. However, current methods suffer from the confusion caused by convolving over time and space independently, processing shorter sequences,