322 Result(s)
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Article
Object detection network pruning with multi-task information fusion
In this work, we propose a novel channel pruning method for object detection. Most of existing works performing network pruning ignore the multi-task nature of object detection, i.e., object classification and...
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Article
Critical Nodes Identification in Large Networks: The Inclined and Detached Models
In social networks, the departure of some users can lead to the dropout of others from the community in cascade. Therefore, the engagement of critical users can significantly influence the stability of a netwo...
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Article
A general characterization of representing spatiotemporal data and determining topological relations based on OWL
With the popularization of mobile Internet and the continuous improvement of automation, the huge amount of data and information that WWW (World Wide Web) can contain is in an exponential explosive growth tren...
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Chapter and Conference Paper
Numerical Investigation on Turbulence Models and the Hydrodynamics of a UVMS
Underwater vehicle-manipulator systems (UVMS) have been widely used in many underwater tasks. In this paper, a numerical investigation of the hydrodynamic performances of a small-size UVMS is carried out by us...
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Chapter and Conference Paper
Exploring the Role of Culture-Centric Design Guidelines in the Design of mHealth Application for Senior Informal Caregivers: Lessons Learned in a Field Study
Mobile health (mHealth) applications help reduce the burden of informal caregivers. However, limited mHealth applications are fully adopted by informal caregivers. Research has suggested that cultural tendency...
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Chapter and Conference Paper
Design and Control of a Bimanual Rehabilitation System for Trunk Impairment Patients
Stroke is one of the leading causes of severe long-term disability worldwide. Past research has proved the effectiveness and importance of trunk rehabilitation in enhancing the locomotive capacities and balanc...
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Chapter and Conference Paper
EAutoDet: Efficient Architecture Search for Object Detection
Training CNN for detection is time-consuming due to the large dataset and complex network modules, making it hard to search architectures on detection datasets directly, which usually requires vast search cost...
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Article
Compression techniques for 2-hop labeling for shortest distance queries
Shortest distance computation is one of the widely researched areas in theoretical computer science and graph databases. Distance labeling are well-known for improving the performance of shortest distance quer...
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Chapter and Conference Paper
Facial Action Unit Detection by Exploring the Weak Relationships Between AU Labels
In recent years, facial action unit (AU) detection attracts more and more attentions and great progress has been made. However, few approaches solve AU detection problem by applying the emotion information, an...
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Chapter and Conference Paper
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
Allocating different bit widths to different channels and quantizing them independently bring higher quantization precision and accuracy. Most of prior works use equal bit width to quantize all layers or chann...
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Chapter and Conference Paper
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning
Providing omnidirectional depth along with RGB information is important for numerous applications. However, as omnidirectional RGB-D data is not always available, synthesizing RGB-D panorama data from limited ...
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Article
Texture map** of geological modeling based on parameterization
How to truthfully and accurately reflects the spatial variation of complex geological bodies is a huge challenge. Most modeling software has made some progress in system functionality and diversity. However, t...
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Article
Using virtual reality to facilitate learners’ creative self-efficacy and intrinsic motivation in an EFL classroom
Following a mixed-methods approach, this study investigated the effect of a virtual reality (VR) creative project on EFL learners’ creative self-efficacy as well as their intrinsic motivation toward using VR t...
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Article
A Survey of Text Summarization Approaches Based on Deep Learning
Automatic text summarization (ATS) has achieved impressive performance thanks to recent advances in deep learning (DL) and the availability of large-scale corpora. The key points in ATS are to estimate the sal...
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Article
Binarized graph neural network
Recently, there have been some breakthroughs in graph analysis by applying the graph neural networks (GNNs) following a neighborhood aggregation scheme, which demonstrate outstanding performance in many tasks....
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Chapter and Conference Paper
An Improved MAX-Log MPA Multiuser Detection Algorithm in SCMA System
Sparse code multiple access (SCMA) technology is a new type of Non-Orthogonal Multiple Access (NOMA) technology for next-generation mobile communications. Aiming at the poor bit error rate (BER) performance of...
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Chapter and Conference Paper
Content-Based Open Knowledge Graph Search: A Preliminary Study with OpenKG.CN
Users rely on open data portals and search engines to find open knowledge graphs (KGs). However, existing systems only provide metadata-based KG search but ignore the contents of KGs, i.e., triples. In this pa...
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Chapter and Conference Paper
A Transparently-Secure and Robust Stock Data Supply Framework for Financial-Technology Applications
Recently, program trading has become the mainstream of financial information technology. The current FinTech applications mainly encounter three technical issues, including scalability, long-time retrieval, an...
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Chapter and Conference Paper
DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network
Machine learning methods face two main challenges in denoising tasks. One is the lack of supervised training data, and the other is the limited knowledge of complex unknown noise. In this paper, for seismic de...
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Chapter and Conference Paper
Applying E-Book System to Facilitate Student’ Flipped Learning Performance in Software Engineering Courses
In recent years, many institutions have pointed out that software developments are important to nations, societies, and individuals. However, to develop quality software, students should not only possess progr...