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Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9507-z
Abstract: Neural networks (NN) have achieved great successes in pattern recognition and machine learning. However, the success of a NN usually relies on the provision of a sufficiently large number of data samples as training data.…
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Keywords:
memory network;
neural networks;
learning samples;
limited data ... See more keywords
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Published in 2023 at "Spectroscopy Letters"
DOI: 10.1080/00387010.2023.2194950
Abstract: Abstract Taking adulterated milk as the research object, the principal component analysis method combined with long short-term memory network was used to study, aiming to find a simple and efficient rapid detection method for adulterated…
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Keywords:
memory network;
adulterated milk;
term memory;
milk ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997115
Abstract: Item recommendation has become a significant means to help people discover interesting items. Meanwhile, plenty of reviews and ratings in recommender system can be utilized to relieve data sparsity problem. However, existing review-based approaches ignore…
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Keywords:
item;
adaptive memory;
attention;
based adaptive ... See more keywords
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Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2959208
Abstract: Remote sensing image (RSI) captioning aims to generate sentences to describe the content of RSIs. Generally, five sentences are used to describe the RSI in caption datasets. Every sentence can just focus on part of…
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Keywords:
topic;
topic words;
remote sensing;
memory network ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3140795
Abstract: Learning to achieve a user-specified objective from a random position in unseen environments is challenging for image-guided navigation agents. The abilities of long-horizon reasoning and semantic understanding are still lacking. Inspired by the human memory…
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Keywords:
memory network;
network;
navigation;
multi store ... See more keywords
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Published in 2023 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3207016
Abstract: In the visual object tracking task, the existing trackers cannot well solve the appearance of deformation, occlusion, and similar object interference, etc. To address these problems, this article proposes a new Anchor-free Tracker based on…
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Keywords:
memory network;
network;
time memory;
memory ... See more keywords
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Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3223871
Abstract: Thermal infrared (TIR) target tracking is susceptible to occlusion and similarity interference, which obviously affects the tracking results. To resolve this problem, we develop an Aligned Spatial-Temporal Memory network-based Tracking method (ASTMT) for the TIR…
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Keywords:
memory network;
temporal memory;
spatial temporal;
target ... See more keywords
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Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2018.2877122
Abstract: With the explosive growth of multimedia data on the Internet, cross-modal retrieval has attracted a great deal of attention in both computer vision and multimedia communities. However, this task is challenging due to the heterogeneity…
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Keywords:
modal retrieval;
cross modal;
memory network;
modal ... See more keywords
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Published in 2022 at "Journal of bioinformatics and computational biology"
DOI: 10.1142/s0219720022500093
Abstract: Nucleosome localization is a dynamic process and consists of nucleosome dynamic intervals (NDIs). We preprocessed nucleosome sequence data as time series data (TSD) and developed a long short-term memory network (LSTM) model for training time…
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Keywords:
memory network;
term memory;
network lstm;
nucleosome dynamic ... See more keywords
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Published in 2019 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2019.00067
Abstract: A functional brain network, termed the parietal memory network (PMN), has been shown to reflect the familiarity of stimuli in both memory encoding and retrieval. The function of this network has been separated from the…
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Keywords:
memory network;
network;
alzheimer disease;
dmn ... See more keywords
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Published in 2020 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2020.587019
Abstract: Introduction: There is significant overlap in the type of structural language impairments exhibited by children with autism spectrum disorder (ASD) and children with attention deficit hyperactivity disorder (ADHD). This similarity suggests that the cognitive impairment(s)…
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Keywords:
language;
memory network;
procedural memory;
disorder ... See more keywords