Tongguang Ni
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View article: Projection Reconstruction Based Domain-Adaptive Dictionary Pair Learning Method
Projection Reconstruction Based Domain-Adaptive Dictionary Pair Learning Method Open
View article: On the Characteristics and Translation Strategies of TCM Terms
On the Characteristics and Translation Strategies of TCM Terms Open
View article: Sentiment Analysis of Medium and Long Text Based on Feature Fusion Model
Sentiment Analysis of Medium and Long Text Based on Feature Fusion Model Open
At present, the research on microblog short text has reached saturation, while the middle and long text sentences are complex and have many emotional words, which makes it difficult to classify the whole sentence.In order to solve the prob…
View article: Transferred Low-rank Discriminative Sub-dictionary Learning Method for Information Identification and Understanding in IoT-based Natural Language Processing
Transferred Low-rank Discriminative Sub-dictionary Learning Method for Information Identification and Understanding in IoT-based Natural Language Processing Open
As Internet of Things (IoT) technology progresses rapidly, there is an increasing demand for automatic identification and understanding of natural language data. However, data labeling requires large amounts of effort and cost. Most intell…
View article: Long and Short-Term Interest Contrastive Learning Under Filter-Enhanced Sequential Recommendation
Long and Short-Term Interest Contrastive Learning Under Filter-Enhanced Sequential Recommendation Open
Existing self-supervised sequential recommendations face the problem of noisy interactions and sparse sequence data, and train models based only on item prediction losses, so they usually fail to learn an appropriate sequential representat…
View article: Transductive Transfer Dictionary Learning Algorithm for Remote Sensing Image Classification
Transductive Transfer Dictionary Learning Algorithm for Remote Sensing Image Classification Open
View article: Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition
Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition Open
The accurate prediction of potential associations between microRNAs (miRNAs) and small molecule (SM) drugs can enhance our knowledge of how SM cures endogenous miRNA-related diseases. Given that traditional methods for predicting SM-miRNA …
View article: Transfer Discriminative Dictionary Pair Learning Approach for Across-Subject EEG Emotion Classification
Transfer Discriminative Dictionary Pair Learning Approach for Across-Subject EEG Emotion Classification Open
Electroencephalogram (EEG) signals are not easily camouflaged, portable, and noninvasive. It is widely used in emotion recognition. However, due to the existence of individual differences, there will be certain differences in the data dist…
View article: Neighborhood-based Inference and Restricted Boltzmann Machine for microbe and drug associations prediction
Neighborhood-based Inference and Restricted Boltzmann Machine for microbe and drug associations prediction Open
Efficient identification of microbe-drug associations is critical for drug development and solving problem of antimicrobial resistance. Traditional wet-lab method requires a lot of money and labor in identifying potential microbe-drug asso…
View article: Deep Possibilistic <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>C</a:mi> </a:math>-means Clustering Algorithm on Medical Datasets
Deep Possibilistic C -means Clustering Algorithm on Medical Datasets Open
In the past, the possibilistic C -means clustering algorithm (PCM) has proven its superiority on various medical datasets by overcoming the unstable clustering effect caused by both the hard division of traditional hard clustering models…
View article: Multi-Frequent Band Collaborative EEG Emotion Classification Method Based on Optimal Projection and Shared Dictionary Learning
Multi-Frequent Band Collaborative EEG Emotion Classification Method Based on Optimal Projection and Shared Dictionary Learning Open
Affective computing is concerned with simulating people’s psychological cognitive processes, of which emotion classification is an important part. Electroencephalogram (EEG), as an electrophysiological indicator capable of recording brain …
View article: Sparse Representation-Based Discriminative Metric Learning for Brain MRI Image Retrieval
Sparse Representation-Based Discriminative Metric Learning for Brain MRI Image Retrieval Open
Magnetic resonance imaging (MRI) can have a good diagnostic function for important organs and parts of the body. MRI technology has become a common and important disease detection technology. At the same time, medical imaging data is incre…
View article: Viral Drug prediction with Matrix Decomposition and Two-layer Heterogeneous Graph Inference
Viral Drug prediction with Matrix Decomposition and Two-layer Heterogeneous Graph Inference Open
Recently, the association prediction between viruses and drugs has drawn more and more attention. A growing number of studies have shown that the problem of antiviral drug resistance is increasing and has become a major problem plaguing th…
View article: A Domain Adaptation Sparse Representation Classifier for Cross-Domain Electroencephalogram-Based Emotion Classification
A Domain Adaptation Sparse Representation Classifier for Cross-Domain Electroencephalogram-Based Emotion Classification Open
The brain-computer interface (BCI) interprets the physiological information of the human brain in the process of consciousness activity. It builds a direct information transmission channel between the brain and the outside world. As the mo…
View article: Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint
Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint Open
Brain tumor image classification is an important part of medical image processing. It assists doctors to make accurate diagnosis and treatment plans. Magnetic resonance (MR) imaging is one of the main imaging tools to study brain tissue. I…
View article: A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm
A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm Open
Background: The brain magnetic resonance imaging (MRI) image segmentation method mainly refers to the division of brain tissue, which can be divided into tissue parts such as white matter (WM), gray matter (GM), and cerebrospinal fluid (CS…
View article: Multifeature Metric Learning Based on Enhanced Equidistance Embedding for Electroencephalogram Recognition of Epilepsy
Multifeature Metric Learning Based on Enhanced Equidistance Embedding for Electroencephalogram Recognition of Epilepsy Open
Mobile edge computing (MEC) has the ability of pattern recognition and intelligent processing of real‐time data. Electroencephalogram (EEG) is a very important tool in the study of epilepsy. It provides rich information that can not be pro…
View article: Auto-Weighted Multi-View Discriminative Metric Learning Method With Fisher Discriminative and Global Structure Constraints for Epilepsy EEG Signal Classification
Auto-Weighted Multi-View Discriminative Metric Learning Method With Fisher Discriminative and Global Structure Constraints for Epilepsy EEG Signal Classification Open
Metric learning is a class of efficient algorithms for EEG signal classification problem. Usually, metric learning method deals with EEG signals in the single view space. To exploit the diversity and complementariness of different feature …
View article: An Intelligence EEG Signal Recognition Method via Noise Insensitive TSK Fuzzy System Based on Interclass Competitive Learning
An Intelligence EEG Signal Recognition Method via Noise Insensitive TSK Fuzzy System Based on Interclass Competitive Learning Open
Epilepsy is an abnormal function disease of movement, consciousness, and nerve caused by abnormal discharge of brain neurons in the brain. EEG is currently a very important tool in the process of epilepsy research. In this paper, a novel n…
View article: Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification
Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification Open
The rule-based fuzzy systems have successfully applied for numerous medical data classification problems. However, structuring the concise and interpretable fuzzy rules with good classification performance is still a big challenge. To addr…
View article: A Fast and Robust Support Vector Machine With Anti-Noise Convex Hull and its Application in Large-Scale ncRNA Data Classification
A Fast and Robust Support Vector Machine With Anti-Noise Convex Hull and its Application in Large-Scale ncRNA Data Classification Open
Support vector machine (SVM) achieves successful classification performance with the application in non-coding RNA (ncRNA) data. With the rapid increase of the species and sizes of ncRNA sequences, several fast SVM methods based on data di…
View article: Person reidentification by semisupervised dictionary rectification learning with retraining module
Person reidentification by semisupervised dictionary rectification learning with retraining module Open
At present, in the field of person reidentification (re-id), the commonly used supervised learning algorithms require a large amount of labeled samples, which is not conducive to the model promotion. On the other hand, the accuracy of unsu…
View article: Discriminative deep transfer metric learning for cross-scenario person re-identification
Discriminative deep transfer metric learning for cross-scenario person re-identification Open
A discriminative deep transfer metric learning method called DDTML is proposed for cross-scenario person re-identification (Re-ID). To develop the Re-ID model in a new scenario, a large number of pairwise cross-camera-view person images ar…
View article: Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification
Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification Open
Existing projection-based person re-identification methods usually suffer from long time training, high dimension of projection matrix, and low matching rate. In addition, the intra-class instances may be much less than the inter-class ins…
View article: Wind Power Prediction Based on LS-SVM Model with Error Correction
Wind Power Prediction Based on LS-SVM Model with Error Correction Open
As conventional energy sources are non-renewable, the world's major countries are investing heavily in renewable energy research. Wind power represents the development trend of future energy, but the intermittent and volatility of wind ene…
View article: Cross-domain, soft-partition clustering with diversity measure and knowledge reference
Cross-domain, soft-partition clustering with diversity measure and knowledge reference Open