Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches
Computer Vision and Pattern Recognition（2024）
关键词
Spectroscopic,Dimensionality Reduction,Autoencoder,Gravitational Waves,Convolutional Neural Network,Unsupervised Learning,Semi-supervised Learning,Manual Labeling,Semi-supervised Methods,Clustering Task,Detection Of Gravitational Waves,Vision Transformer,Local Features,Feature Maps,Data Augmentation,Attention Mechanism,Global Features,Mutual Information,Global Information,Self-attention Layer,Latent Code,Fusion Strategy,Latent Space,Self-supervised Learning,Self-attention Module,Representation Learning,Convolutional Neural Network Module,Labeled Data,Unlabeled Data
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