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Found 8 papers, 0 papers with code
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
Recognizing the significance of timely prediction due to the dynamic nature of real-time data, we employ knowledge distillation (KD) as a solution to enhance the execution time of ST-GNNs for traffic prediction.
Clustering based on Mixtures of Sparse Gaussian Processes
How to cluster data using their low dimensional embedded space is still a challenging problem in machine learning.
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
In this paper, we introduce a contrastive learning framework for learning clustering-friendly node embedding.
Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
Text summarization in medicine can help doctors for reducing the time to access important information from countless documents.
Optimized Participation of Multiple Fusion Functions in Consensus Creation: An Evolutionary Approach
In the proposed method, multiple hierarchical clustering methods are generated via bagging.
A Novel Multi-clustering Method for Hierarchical Clusterings, Based on Boosting
In the area of "flat clustering" problems, it is also recognized that multi-clustering methods based on boosting provide clusterings of an improved quality.
An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Recently, two-dimensional canonical correlation analysis (2DCCA) has been successfully applied for image feature extraction.
Generating Graphical Chain by Mutual Matching of Bayesian Network and Extracted Rules of Bayesian Network Using Genetic Algorithm
With the technology development, the need of analyze and extraction of useful information is increasing.
