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Chapter and Conference Paper
A Hybrid Active and Passive Cache Method Based on Deep Learning in Edge Computing
In recent years, the rapid development of micro-video in the multimedia field has brought about a huge increase in Internet traffic. Ensuring consumer quality of experience (QoE) has become a major challenge f...
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Chapter and Conference Paper
Period Extraction for Traffic Flow Prediction
Due to the particularity of “Tourist chartered Buses, Liner Buses and Dangerous Goods Transport Vehicles” (“TLD Vehicles”), traffic accidents will bring serious losses. Therefore, traffic flow prediction for “...
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Chapter and Conference Paper
Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information
With the development of Internet of Vehicles, a large number of different types of applications have emerged. However, given the limited computing power of vehicles, many tasks cannot be completed within speci...
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Chapter and Conference Paper
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to-RGB map** problem, wher...
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Chapter and Conference Paper
How Interaction Paradigms Affect User Experience and Perceived Interactivity in Virtual Reality Environment
Interactivity is one of the major features of virtual reality (VR) comparing with traditional digital devices. Many virtual reality devices and applications provide more than one input instruments for users t...
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Chapter and Conference Paper
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost
From the ABCD dataset, we discover that besides the gray matter volume of cortical regions, other measures such as the mean cortical curvature, white matter volume and subcortical volume exhibit additional cap...
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Chapter and Conference Paper
Kernel Based Weighted Group Sparse Representation Classifier
Sparse representation classification (SRC) is a new framework for classification and has been successfully applied to face recognition. However, SRC can not well classify the data when they are in the overlap ...
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Chapter and Conference Paper
Local-Global Joint Decision Based Clustering for Airport Recognition
Airport recognition plays an important role in many computer vision tasks. This paper proposes a novel method for airport recognition including the generation of clustering threshold adaptively and automatical...
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Chapter and Conference Paper
A Generalized Subspace Projection Approach for Sparse Representation Classification
In this paper, we propose a subspace projection approach for sparse representation classification (SRC), which is based on Principal Component Analysis (PCA) and Maximal Linearly Independent Set (MLIS). In the...
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Chapter and Conference Paper
Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification