280 Result(s)
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English
Artificial Intelligence
Computer Applications
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Chapter
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Chapter and Conference Paper
Exploring the Influences of Virtual Reality Experiences from the Perspective of Children's Cognition
VR (Virtual reality) technology is the technology of computer-generated environment, and its immersive and intelligent interaction make it widely used in children's education, entertainment and sports and reha...
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Chapter and Conference Paper
A Reinforcement Learning Approach for Personalized Diversity in Feeds Recommendation
Feeds recommendation has been widely used in various applications, such as e-commerce site, where users can constantly browse products generated by never-ending feeds. It’s important to not only consider insta...
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Chapter and Conference Paper
Mining Label Distribution Drift in Unsupervised Domain Adaptation
Unsupervised domain adaptation targets to transfer task-related knowledge from labeled source domain to unlabeled target domain. Although tremendous efforts have been made to minimize domain divergence, most e...
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Chapter and Conference Paper
CSTrack: A Comprehensive and Concise Vision Transformer Tracker
The attention mechanism has been widely applied in visual tracking tasks due to its remarkable ability to capture global dependencies. However, there are two issues in previous attention-based methods: redunda...
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Chapter and Conference Paper
Deformable CNN with Position Encoding for Arbitrary-Scale Super-Resolution
Implicit neural representation (INR) has been widely used to learn continuous representation of images, as it enables arbitrary-scale super-resolution (SR). However, most existing INR-based arbitrary-scale SR ...
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Chapter and Conference Paper
Seamless Integration of Efficient 6G Wireless Technologies for Communication and Sensing Enabling Ecosystems
The vision of 6G foresees telecommunication infrastructures that move from provisioning classical telecommunication and data services to delivering more intelligent, flexible and energy-aware services, opening...
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Chapter and Conference Paper
Effective Small Ship Detection with Enhanced-YOLOv7
Small ship detection is widely used in marine environment monitoring, military applications and so on, and it has gained increasing attentions both in industry and academia. In this paper, we propose an effect...
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Chapter and Conference Paper
Adversarial Robustness via Multi-experts Framework for SAR Recognition with Class Imbalanced
With the rapid development of deep learning technology, significant progress has been made in the field of synthetic aperture radar (SAR) target recognition algorithms. However, deep neural networks are vulner...
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Chapter and Conference Paper
Feature Refinement from Multiple Perspectives for High Performance Salient Object Detection
Recently, deep-learning based salient object detection methods have gained great progress. However, there still exists some problems such as inefficient multi-level feature fusion, unstable multi-scale context...
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Chapter and Conference Paper
Dictionary-Assisted Chinese Nested Named Entity Recognition
Chinese Named Entity Recognition is a challenging task, made even more difficult by the presence of nested entity structures. Previous work on Nested Named Entity Recognition focused only on exploiting interna...
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Chapter and Conference Paper
Global Selection and Local Attention Network for Referring Image Segmentation
Referring image segmentation (RIS) aims to segment the target object based on a natural language expression. The challenge lies in comprehending both the image and the referring expression simultaneously, whi...
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Chapter and Conference Paper
Hierarchical Focused Feature Pyramid Network for Small Object Detection
Small object detection has been a persistently practical and challenging task in the field of computer vision. Advanced detectors often utilize a feature pyramid network (FPN) to fuse the features generated fr...
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Chapter and Conference Paper
LNFGP: Local Node Fusion-Based Graph Partition by Greedy Clustering
Graph partitioning manages large RDF datasets in various applications such as file systems, databases and distributed computing frameworks. Research on graph partitioning can be generally categorized into two ...
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Chapter and Conference Paper
DQN-Based Comprehensive Consumption Minimization on Calculation Offloading in Mobile Edge Computing
When Internet of Things (IoT) devices similar to sensors collect and analyze information outdoors, they often encounter insufficient energy or information cannot be analyzed in time. To make sensor devices wor...
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Chapter and Conference Paper
Stochastic Task Offloading Problems for Edge Computing
The edge-cloud computing is extensively deployed to provide convenient computing.
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Chapter and Conference Paper
Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling
Clinical coding is obtaining a standard ICD code based on the patient’s electronic medical record (EMR) information, including diagnosis, procedure, drug list, order, etc. It is essential in the medical record...
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Chapter and Conference Paper
Effectiveness of Malicious Behavior and Its Impact on Crowdsourcing
Crowdsourcing has achieved great success in fields like data annotation, social survey, objects labeling, etc. However, enticed by potential high rewards, we have seen more and more malicious behavior like pla...
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Chapter and Conference Paper
BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-task Learning
Realtime bus waiting time is of great importance to the intelligent public transportation system and is beneficial for improving user satisfaction by online map services. While there are limited realtime bus w...
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Chapter and Conference Paper
DLUIO: Detecting Useful Investor Opinions by Deep Learning
In recent years, due to the increasing popularity of investment microblogging platforms (e.g., Stocktwits), a critical challenge is to detect useful investor opinions and use them to make wise trading decision...
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Chapter and Conference Paper
Dependency-Based Task Assignment in Spatial Crowdsourcing
Task assignment is one of the central problems in spatial crowdsourcing research. A good assignment approach will match the best performer to the task. Complex tasks account for an increasing proportion of tas...
