166 Result(s)
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Chapter and Conference Paper
RLSCNet: A Residual Line-Shaped Convolutional Network for Vanishing Point Detection
The convolutional neural network (CNN) is an effective model for vanishing point (VP) detection, but its success heavily relies on a massive amount of training data to ensure high accuracy. Without sufficient ...
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Chapter and Conference Paper
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning
With the increasing amount of data, data privacy has drawn great concern in machine learning among the public. Federated Learning, which is a new kind of distributed learning framework, enables data providers ...
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Chapter and Conference Paper
Defending Use-After-Free via Relationship Between Memory and Pointer
Existing approaches to defending Use-After-Free (UAF) exploits are usually done using static or dynamic analysis. However, both static and dynamic analysis suffer from intrinsic deficiencies. The existing stat...
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Chapter and Conference Paper
Consistency and Coherency Enhanced Story Generation
Story generation is a challenging task, which demands to maintain consistency of the plots and characters throughout the story. Previous works have shown that GPT2, a large-scale language model, has achieved a...
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Chapter and Conference Paper
Financial Numeral Classification Model Based on BERT
Numerals contain rich semantic information in financial documents, and they play significant roles in financial data analysis and financial decision making. This paper proposes a model based on the Bidirection...
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Chapter and Conference Paper
DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks
Graphs have become widely adopted as a means of representing relationships between entities in many applications. These graphs often evolve over time. Learning effective representations preserving graph topolo...
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Chapter and Conference Paper
Rules for Inducing Hierarchies from Social Tagging Data
Automatic generation of hierarchies from social tags is a challenging task. We identified three rules, set inclusion, graph centrality and information-theoretic condition from the literature and proposed two n...
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Chapter and Conference Paper
MTSC: An Effective Multiple Time Series Compressing Approach
As the volume of time series data being accumulated is likely to soar, time series compression has become essential in a wide range of sensor-data applications, like Industry 4.0 and Smart grid. Compressing mu...
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Chapter and Conference Paper
Randomizing SVM Against Adversarial Attacks Under Uncertainty
Robust machine learning algorithms have been widely studied in adversarial environments where the adversary maliciously manipulates data samples to evade security systems. In this paper, we propose randomized ...
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Chapter and Conference Paper
A CRF-Based Stacking Model with Meta-features for Named Entity Recognition
Named Entity Recognition (NER) is a challenging task in Natural Language Processing. Recently, machine learning based methods are widely used for the NER task and outperform traditional handcrafted rule based ...
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Chapter and Conference Paper
High Capacity Reversible Data Hiding with Contrast Enhancement
Reversible data hiding aims at recovering exactly the cover image from the marked image after extracting the hidden data. Reversible data hiding with contrast enhancement proposed by Wu et al. achieved a good eff...
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Chapter and Conference Paper
Design of Internet Rehabilitation Service System with Individual Assessment Data for Autistic Children
As a subtype of pervasive development disorder, autism has unknown cause of disease and no completely rehabilitated cases to date. However, in the golden intervention period from 2 to 6 years old, scientific r...
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Chapter and Conference Paper
PreNet: Parallel Recurrent Neural Networks for Image Classification
Convolutional Neural Networks (CNNs) have made outstanding achievements in computer vision, e.g., image classification and object detection, by modelling the receptive field of visual cortex with convolution a...
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Chapter and Conference Paper
Relevance and Coherence Based Image Caption
The attention-based image caption framework has been widely explored in recent years. However, most techniques generate next word conditioned on previous words and current visual contents, while the relationsh...
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Chapter and Conference Paper
Image Forgery Detection Based on Semantic Image Understanding
Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based...
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Chapter and Conference Paper
Efficient Approximate Entity Matching Using Jaro-Winkler Distance
Jaro-Winkler distance is a measurement to measure the similarity between two strings. Since Jaro-Winkler distance performs well in matching personal and entity names, it is widely used in the areas of record l...
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Chapter and Conference Paper
Effect of Linked Rules on Business Process Model Understanding
Business process models are widely used in organizations by information systems analysts to represent complex business requirements and by business users to understand business operations and constraints. This...
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Chapter and Conference Paper
A Social Stability Analysis System Based on Web Sensitive Information Mining
Researches on domestic social stability analysis mainly focus on construction of social stability theory, architecture and index, while few pay attention on quantitative analysis. In this paper, a social stabi...
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Chapter and Conference Paper
A Novel Load Balancing Algorithm Based on Improved Particle Swarm Optimization in Cloud Computing Environment
In the area of cloud computing load balancing, the Particle Swarm Optimization (PSO) algorithm is neoteric and now praised highly, but recently a more neoteric algorithm which deploys the classifier into load ...
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Chapter and Conference Paper
Survey on Campus Landscape Construction and Study on Suitability Comprehensive Evaluation
Scientific and rational designing and construction of green infrastructure is an important part of the sustainable urbanization of China. In view of this, deeper insights into the actual condition of campus la...
