325 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
**u Tao
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Article
Multi-scale deep echo state network for time series prediction
Echo state network (ESN) has widely attracted many researchers due to its training process without backpropagation. However, it is hard for single ESN to fit those complex and polytrophic situations. Under thi...
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Article
Quasisynchronization of reaction-diffusion neural networks with time-varying delays by static/dynamic event-triggered control and its application to secure communication
This paper studies the quasisynchronization problems of reaction-diffusion neural networks (RDNNs) with time-varying delays via event-triggered control. Firstly, a static event-triggered mechanism and a dynami...
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Article
Preference detection of the humanoid robot face based on EEG and eye movement
The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received mu...
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Article
CSGAT-Net: a conditional pedestrian trajectory prediction network based on scene semantic maps and spatiotemporal graph attention
Pedestrian behavior exhibits high levels of dynamism, and pedestrian trajectories are influenced not only by the pedestrians themselves, but also by interactions with surrounding objects. Efficiently understan...
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Article
Retraction Note: A streak detection approach for comprehensive two-dimensional gas chromatography based on image analysis
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Article
Alternate inference-decision reinforcement learning with generative adversarial inferring for bridge bidding
Contract bridge is a competitive-cooperative multiplayer game. In the bidding phase, the decision-making process is complex, given the extensive range of inaccessible information from the partner and opponents...
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Article
A real-time multiple tunneling parameter prediction method of TBM steady phase based on dual recurrent neural networks
Due to the uncertainty of geological conditions during the tunneling process, advanced prediction of TBM tunneling parameters is significant for evaluating operational safety and efficiency, especially for rea...
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Article
Judgmentally adjusted Q-values based on Q-ensemble for offline reinforcement learning
Recent advancements in offline reinforcement learning (offline RL) have leveraged the Q-ensemble approach to derive optimal policies from static datasets collected in the past. By increasing the batch size, a ...
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Article
Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance
Fisher discriminant analysis (FDA) is a widely used dimensionality reduction tool in pattern recognition. However, FDA cannot obtain an optimal subspace for classification without sufficient labeled samples. T...
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Article
ALP-Net: a segmentation-free approach for license plate recognition in unconstrained scenarios
License plate recognition technology is of paramount importance in intelligent transportation. While ideal scenario license plate recognition technology has gradually matured, traditional methods still exhibit...
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Article
Residual Graph Convolution Collaborative Filtering with Asymmetric neighborhood aggregation
Due to the superior performance of graph convolutional networks (GCNs) in feature extraction and representation, researchers have introduced GCNs to collaborative filtering (CF) to improve the accuracy of reco...
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Article
Vision-language navigation: a survey and taxonomy
Vision-language navigation (VLN) tasks require an agent to follow language instructions from a human guide to navigate in previously unseen environments using visual observations. This challenging field, invol...
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Article
A train dispatching model in case of segment blockages by integrating the prediction of delay propagation
In the high-speed railway system, trains’ original timetable is often disturbed by some emergencies including geological disasters and equipment failures, which brings great influence to passengers. This paper...
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Article
A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification
Microscopic image analysis technology helps solve the inadvertences of artificial traditional methods in disease, wastewater treatment, and environmental change monitoring analysis. Convolutional neural networ...
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Article
Reinforcement learning from constraints and focal entity shifting in conversational KGQA
The actual needs of users for information are often hidden in multiple question answering (QA) on the same topic. In order to generate answers to users’ current questions, a conversational QA system relies on ...
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Article
Uncertainty-guided Robust labels refinement for unsupervised person re-identification
Existing state-of-the-art unsupervised person re-identification (Re-ID) methods rely on clustering to generate pseudo labels for training. The reliability of pseudo labels directly affects the performance of t...
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Chapter and Conference Paper
Gemini: A Dual-Task Co-training Model for Partial Label Learning
Partial-Label Learning (PLL) is an important weakly supervised learning task that assumes each training instance is annotated with a set of candidate labels. In recent years, self-training PLL models, which le...
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Article
The using effect of fuzzy analytic hierarchy process in project engineering risk management
This work aims to explore the effectiveness of the fuzzy analytic hierarchy process (FAHP) in project engineering risk management and comprehensively investigate the application of genetic algorithm (GA) and n...
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Article
Hint: harnessing the wisdom of crowds for handling multi-phase tasks
The resourcefulness of crowdsourcing can be used to handle a wide range of complex macro-tasks, such as travel planning, translation, and software development. Multi-phase tasks are a type of macro-task that c...
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Article
Open AccessA new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
Digital image noise may be introduced during acquisition, transmission, or processing and affects readability and image processing effectiveness. The accuracy of established image processing techniques, such a...
