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A graph-based code representation method to improve code readability classification
ContextCode readability is crucial for developers since it is closely related to code maintenance and affects developers’ work efficiency. Code...
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Density-Based Discriminative Nonnegative Representation Model for Imbalanced Classification
Representation-based methods have found widespread applications in various classification tasks. However, these methods cannot deal effectively with...
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Image representation method based on Gaussian function and non-uniform partition
Image representation or reconstruction methods are important in digital image processing. Due to different image features happening in different...
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Multi-scale hash encoding based neural geometry representation
Recently, neural implicit function-based representation has attracted more and more attention, and has been widely used to represent surfaces using...
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Recent advances in implicit representation-based 3D shape generation
Various techniques have been developed and introduced to address the pressing need to create three-dimensional (3D) content for advanced applications...
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Hybrid density-based adaptive weighted collaborative representation for imbalanced learning
Collaborative representation-based classification (CRC) has been extensively applied to various recognition fields due to its effectiveness and...
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Classifier subset selection based on classifier representation and clustering ensemble
Ensemble pruning can improve the performance and reduce the storage requirements of an integration system. Most ensemble pruning approaches remove...
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A representation learning model based on stochastic perturbation and homophily constraint
The network representation learning task of fusing node multi-dimensional classification information aims to effectively combine node...
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Graph neural news recommendation based on multi-view representation learning
Accurate news representation is of crucial importance in personalized news recommendation. Most of existing news recommendation model lack...
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6DFLRNet: 6D rotation representation for head pose estimation based on facial landmarks and regression
Head pose estimation methods can be generally classified into two categories: model-based and appearance-based methods. The model-based approach...
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AERQP: adaptive embedding representation-based QoS prediction for web service recommendation
Over the last few years, abundant and diverse Web services have migrated to the cloud. However, the disparity of the cloud environment renders...
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Dynamic Network Representation Based on Latent Factorization of Tensors
A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes...
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A Prompt-Based Representation Individual Enhancement Method for Chinese Idiom Reading Comprehension
Chinese idiom is a distinctive language phenomenon, which usually consists of four Chinese characters and expresses a non-compositional and...
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A new person re-identification method by defining CNN-based feature extractor and sparse representation
Due to the rapid increase of using surveillance cameras, it has become more important to re-identify persons on different non-overlapped cameras....
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Incomplete Multi-view Clustering Based on Self-representation
In recent years, multi-view spectral clustering has become a research hotspot of multi-view learning. However, it cannot directly handle incomplete...
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Towards efficient image-based representation of tabular data
Convolutional neural networks (CNNs) have been widely used in image classification tasks and have achieved remarkable results compared with...
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On the effectiveness of log representation for log-based anomaly detection
Logs are an essential source of information for people to understand the running status of a software system. Due to the evolving modern software...
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Object-based video anomaly detection using multi-attention and adaptive velocity attribute representation learning
Video anomaly detection is an important topic in multimedia technology. Multiscale features and cross-learning between low-level and high-level...
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Digital audio tampering detection based on spatio-temporal representation learning of electrical network frequency
The majority of Digital Audio Tampering Detection (DATD) methods, which are based on Electrical Network Frequency (ENF), predominantly concentrate on...
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A hierarchical and data-efficient network based on patch-based representation
With the rise of Transformers in computer vision, more and more people believe Transformer-based models would serve as a standard in various vision...
