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BD-HSIC dataset
The dataset used in this paper is a synthetic dataset for testing causal inference methods. -
GTA5: A synthetic dataset for urban scenes
Semantic scene segmentation of urban scenes captured from the Unmanned Aerial Vehicles (UAV) perspective plays a vital role in building a perception model for UAV. -
SYNTHIA: A synthetic segmentation dataset for urban scenes
Semantic scene segmentation of urban scenes captured from the Unmanned Aerial Vehicles (UAV) perspective plays a vital role in building a perception model for UAV. -
Synthetic b1000 and b3000 datasets
Synthetic phantom datasets generated with phantomas4. -
Synthetic dataset results
The dataset is used to evaluate the performance of the proposed approach on a variety of synthetic and real-world datasets. -
Synthetic 1D GP dataset
A synthetic 1D GP dataset with RBF kernel. -
Synthetic datasets
The authors used synthetic datasets with temporal dependencies and actions. The datasets have 1 million examples, with dimensionality of X t = 20 and ground-truth f is a random...
