84 Result(s)
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Chapter and Conference Paper
CSEC: A Chinese Semantic Error Correction Dataset for Written Correction
Existing research primarily focuses on spelling and grammatical errors in English, such as missing or wrongly adding characters. This kind of shallow error has been well-studied. Instead, there are many unsolv...
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Chapter and Conference Paper
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation
Top-N recommendation is a common tool to discover interesting items, which ranks the items based on user preference using their interaction history. Implicit feedback is often used by recommender systems due t...
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Chapter and Conference Paper
You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network
Graph Neural Networks (GNNs) have shown great ability in modeling graph-structured data. However, most current models aggregate information from the local neighborhoods of a node. They may fail to explicitly e...
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Chapter and Conference Paper
Efficiently Answering Why-Not Questions on Radius-Bounded k-Core Searches
The problem of searching radius-bounded k-cores (RB-k-cores) for a given query vertex is to find cohesive subgraphs satisfying both social and spatial constraints on geo-social networks. However, the search resul...
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Chapter and Conference Paper
Joint Pixel-Level and Feature-Level Unsupervised Domain Adaptation for Surveillance Face Recognition
Face recognition (FR) is one of the most successful image analysis and understanding applications, which has recently received significant attentions. However, despite the remarkable progress in face recogniti...
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Chapter and Conference Paper
Modeling and Analysis of Combat System Confrontation Based on Large-Scale Knowledge Graph Network
Focusing on the confrontation analysis requirements of joint operation system of systems, this paper proposes an intelligent matching method of operational elements based on semantic features for typical large...
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Chapter and Conference Paper
Design of Cold Chain Logistics Information Real Time Tracking System Based on Wireless RFID Technology
In order to improve the proportion of cold chain distribution, effectively control transportation links and information, and ensure the quality of cold chain food, it is necessary to establish an effective mon...
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Chapter and Conference Paper
Optimal Sequenced Route Query with POI Preferences
The optimal sequenced route (OSR) query, as a popular problem in route planning for smart cities, searches for a minimum-distance route passing through several POIs in a specific order from a starting position...
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Chapter and Conference Paper
A Novel Road Segment Representation Method for Travel Time Estimation
Road segment representation is important for evaluating travel time, route recovery and traffic anomaly detection. Recent works mainly consider topology information of road network based on graph neural networ...
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Chapter and Conference Paper
A Distributed Big Data Discretization Algorithm Under Spark
Data discretization is one of the important steps of data preprocessing in data mining, which can improve the data quality and thus improve the accuracy and time performance of the subsequent learning process....
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Chapter and Conference Paper
Research and Realization on the Performance Testing Tool of Web Application
The performance guidelines such as the response time and the connection unsuccessful rate are the key factors to determine the quality of a Web application. To calculate these performance guidelines quickly, s...
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Chapter and Conference Paper
Sentiment Analysis of Social Networks’ Comments to Predict Stock Return
Financial intelligence has become a research hotspot in recent years with the development of behavioral finance which introduces the social emotion and behavior factors in the decision-making. The data mining ...
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Chapter and Conference Paper
The Design of Inspection Robot Navigation Systems Based on Distributed Vision
This paper focuses on inspection robot navigation systems based on distributed vision in order to solve the navigation problem for indoor inspection robots in an unknown environment. Firstly, the robot platfor...
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Chapter and Conference Paper
IMU-Aided Ultra-wideband Based Localization for Coal Mine Robots
Robotic mining equipment is playing an increasingly important role in coal mine operations. Due to the complexity of underground occlusion environment, the localization methods available are limited, which res...
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Chapter and Conference Paper
A Distributed Storage System Based on Blockchain and Pipelined Code
To achieve data reliability and security in distributed storage systems, different coding schemes have been proposed. Encoded data would be stored in different nodes which are called hosts. However, the knowle...
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Chapter and Conference Paper
Long-Term Real-Time Correlation Filter Tracker for Mobile Robot
Computer vision has received a significant attention in recent years, which is one of the important parts for robots to apperceive external environment. Discriminative Correlation Filter (DCF) based trackers g...
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Chapter and Conference Paper
Transitive Pseudonyms Mediated EHRs Sharing for Very Important Patients
Electronic health record (EHR) greatly enhances the convenience of cross-domain sharing and has been proven effectively to improve the quality of healthcare. On the other hand, the sharing of sensitive medical...
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Chapter and Conference Paper
Private Trajectory Data Publication for Trajectory Classification
Trajectory classification (TC), i.e., predicting the class labels of moving objects based on their trajectories and other features, has many important real-world applications. Private trajectory data publicat...
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Chapter and Conference Paper
Further Evidence for Role of Promoter Polymorphisms in TNF Gene in Alzheimer’s Disease
Tumor necrosis factor (TNF) expression level is associated with regulating effects on Alzheimer’s disease (AD) development. And several TNF SNPs have been reported to associate with AD, however, it is unclear whe...
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Chapter and Conference Paper
A Novel Approach Based on Bi-Random Walk to Predict Microbe-Disease Associations
An increasing number of clinical observations have confirmed that the microbes inhabiting in human body have critical impacts on the progression of human disease, which provides promising insights into underst...
