論文筆記8：Feature importance analysis for local climate zone classification using a residual convolution

時間 2020-12-23

標籤 LCZ 简体版

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Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets Unfortunately, a simple stacking of both datasets together do

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1. 論文筆記4：GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong
2. 論文筆記：Residual Attention Network for Image Classification
3. 論文筆記《Active Convolution: Learning the Shape of Convolution for Image Classification》
4. 【論文筆記】Active Convolution: Learning the Shape of Convolution for Image Classification
5. 論文筆記3：LOCAL CLIMATE ZONES FOR URBAN TEMPERATURE STUDIES
6. Residual Attention Network for Image Classification論文記錄
7. 機器學習筆記~Feature Extraction Using Convolution
8. 論文筆記7：Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale
9. 論文筆記[8] Seismic Waveform Classification and First-Break Picking Using CNN
10. 【論文筆記】QANET：Combining Local Convolution With Global Self-attention for Reading Comprehension

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