Multi-feature fusionHyperspectral image data has rich spectral-spatial features, so multi-feature fusion is the main method of hyperspectral classification. Related technologies include: multi-scale fusion, multi-branch fusion, spectral-spatial fusion, etc. The adaptability and effectiveness of feature fus...
To deal with the multimodal heterogeneous features of the POIs, we introduce a late feature fusion strategy into our SH-CDL model. The extensive experimental analysis shows that our proposed model outperforms the state-of-the-art recommendation models, especially in out-of-town and cold-start ...
Due to the powerful feature extraction capabilities of neural networks [20], [21], the CNN-based density map regression method has become Proposed method This section details the Spatial Exchanging Fusion Network (SEFNet) for RGB-T crowd counting. First, we analyze the issue of gradient ...
30 Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion 相关链接 CIKM 2024于2024年10月21号-10月25号在美国爱达荷州博伊西举行(Boise, Idaho, USA) 本文总结了CIKM 2024有关时空数据(spatial-temporal data)的相关论文,主要包含交通预测,插补,事故预测,气象预测,轨迹...
Spatial Mapping and Meshing feature of Snapdragon Spaces SDK helps smart glasses understand and reconstruct the geometry of the environment.
The combination of two modules leads to a decrease in performance due to insufficient feature fusion. This proves that each module in the method is indispensable, performing its function individually, enabling the method to achieve optimal performance. Table 4 Ablation experiments of components on the...
The overall framework of UrbanGCL.aFeature-level and topology-level data augmentation are applied on the raw feature matrix and adjacency matrix.bThe augmented traffic data is fed into a spatial-temporal encoder to produce local and global high-level representations.cThe spatial contrastive learning ...
29 DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion 作者:Li Lin,Xin Xu,Hai Wang,Tian He,Desheng Zhang,Shuai Wang 关键词:时空融合 30 Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion ...
BANKSY can also be used for quality control of spatial transcriptomics data and for spatially aware batch effect correction. Importantly, it is substantially faster and more scalable than existing methods, enabling the processing of millions of cell datasets. In summary, BANKSY provides an accurate, ...
But most of these methods utilize only the single spectral feature of HSI and advanced features are not considered, such that the discriminability of sparse representation coefficients is relatively weak. In this paper, we propose a novel multifeature spatial aware dictionary learning model by ...