60 Result(s)
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English
Computer Science
Data Mining and Knowledge Discovery
**aochen **
Conference Paper
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Chapter and Conference Paper
Image Blending Algorithm with Automatic Mask Generation
In recent years, image blending has gained popularity for its ability to create visually stunning content. However, the current image blending algorithms mainly have the following problems: manually creating i...
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Chapter and Conference Paper
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video
Real-time video over the Internet suffers from packet loss and low network bandwidth. The receiving side may receive down-sampled video with damaged frames. In this work, we are motivated to enhance the qualit...
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Chapter and Conference Paper
Steering Control Method of Mobile Forklift Based on Sensing Signal
Because the steering control method of the mobile forklift has the problem of large steering deviation, a steering control method of the mobile forklift based on sensing signal is designed. Using the yaw rate ...
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Chapter and Conference Paper
Extraction Method of Vibroseis Phase Signal Based on Time-Varying Narrowband Filtering
When the phase travel time value increases continuously, the accuracy of the vibroseis phase signal extraction method will be disturbed. Aiming at this problem, a time-varying narrow-band filtering based vibro...
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Chapter and Conference Paper
Emotion Detection in Unfix-Length-Context Conversation
Emotion Detection in conversation is playing more and more important role in dialogue system. Existing approaches to Emotion Detection in Conversation (EDC) use a fixed context window to recognize speakers’ emoti...
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Chapter and Conference Paper
3D Visualization Supporting Situational Awareness of Model-Based System of Systems
Model-based System of Systems Engineering (MBSoSE) enables to improve the efficiency of the architecture design, and the performance analysis and modeling of highly complex system of systems (SoS). Introducing...
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Chapter and Conference Paper
Towards a Semantics-Based Search Engine for Smart Contract Information
Most blockchains are known for transparency since all on-chain records are open and immutable. However, due to the particularity of the blockchain data structure, users cannot perform semantic searches in the ...
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Chapter and Conference Paper
Big Data Analysis for Anti-Money Laundering: A Case of Open Source Greenplum Application
For the anti-money laundering regulations of financial institutions, it is important to do the timely big data analysis to continuously optimize the comprehensiveness, correctness and effectiveness of transact...
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Chapter and Conference Paper
Semantic Modeling Supporting Discrete Event Simulation for Aircraft Assembly Process
Aircraft assembly is a complex process associated with different stakeholders, which strongly impacts the R&D cost for the entire aircraft lifecycle management. Traditional aircraft assembly process is designe...
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Chapter and Conference Paper
CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods’ Spatiotemporal Dependencies
Crime prediction in urban areas can improve the allocation of resources (e.g., police patrols) towards a safer society. Recently, researchers have been using deep learning frameworks for urban crime forecastin...
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Chapter and Conference Paper
Incrementally Finding the Vertices Absent from the Maximum Independent Sets
A vertex v in a graph G is called an absent vertex if it is not in any maximum independent set of G. Absent vertex discovery is useful in various scenarios. For example, if G depicts a wireless communication inte...
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Chapter and Conference Paper
PatentMiner: Patent Vacancy Mining via Context-Enhanced and Knowledge-Guided Graph Attention
Although there are a small number of work to conduct patent research by building knowledge graph, but without constructing patent knowledge graph using patent documents and combining latest natural language pr...
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Chapter and Conference Paper
Link Prediction of Heterogeneous Information Networks Based on Frequent Subgraph Evolution
The problem of link prediction in heterogeneous information networks has been widely studied in recent years. It is essential to grasp the evolution law for both static information networks and dynamic informa...
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Chapter and Conference Paper
Metric Learning for Categorical and Ambiguous Features: An Adversarial Method
Metric learning learns a distance metric from data and has significantly improved the classification accuracy of distance-based classifiers such as k-nearest neighbors. However, metric learning has rarely been ap...
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Chapter and Conference Paper
MRMRP: Multi-source Review-Based Model for Rating Prediction
Reviews written by users often contain rich semantic information which can reflect users’ preferences for different attributes of items. For the past few years, many studies in recommender systems take user re...
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Chapter and Conference Paper
Using GMOSTNet for Tree Detection Under Complex Illumination and Morphological Occlusion
Trees are an integral part of the forestry ecosystem. In forestry work, the precise acquisition of tree morphological parameters and attributes is affected by complex illumination and tree morphology. In order...
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Chapter and Conference Paper
A Minimum Rare-Itemset-Based Anomaly Detection Method and Its Application on Sensor Data Stream
In recent years, the scale of data stream is becoming much larger in real life. However, the anomaly data often exists in the collected data stream, while the existence of anomaly is a main reason for the decr...
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Chapter and Conference Paper
Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values
The missing value is a common phenomenon in real-world datasets, which makes the analysis of incomplete data become an active research area. In this paper, a correlation-enhanced auto-associative neural networ...
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Chapter and Conference Paper
Social Relation Inference via Label Propagation
Collaboration networks are a ubiquitous way to characterize the interactions between people. In this paper, we consider the problem of inferring social relations in collaboration networks, such as the fields t...
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Chapter and Conference Paper
Image Stitching Based on Discrete Wavelet Transform and Slope Fusion
The fusion algorithm of traditional image stitching does not fully consider the differences of the clarity of the two images, and the conventional Discrete Wavelet Transform algorithm would blur the image whe...
