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Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector. [PDF]
Liao S, Sun X, Hao N, Zhang HH.
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A configurable streaming spiking neural network accelerator with decoupled pixel-level and output-channel parallelism for automatic modulation classification. [PDF]
Yang K, Eltawil AM, Salama KN.
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Poly pipeline: a polyvalent spatial transcriptomics workflow validated across polyploid and diploid organisms. [PDF]
Carvalho PC, MIllsteed T, Henry RJ.
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Enhancing healthcare explainability through multiobjective counterfactual explanations. [PDF]
Memon SA +3 more
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Dynamic sparse attention for lightweight multimodal sensor fusion on edge devices. [PDF]
Tao Z, Zhang H, Kong L, Tang W.
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Hierarchical sparse spatiotemporal graph neural network for brain graph classification. [PDF]
Cui J, Li Y, Qu X, Zhang Y.
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A Trajectory Prediction Method with Sparsity Data
2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017A timely and accurate prediction of the vehicle’s trajectory can render a good service, help predict traffic flow, and in the more interesting case, detect potentially dangerous situations as early as possible. It is widespread to use historical data to predict trajectories.
Hengfei Fan, Wenbin Yao
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