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cs.LG2024
An End-to-End Model for Time Series Classification In the Presence of Missing Values
Pengshuai Yao, Mengna Liu, Xu Cheng +4
Time series classification with missing data is a prevalent issue in time series analysis, as temporal data often contain missing values in practical applications. The traditional…
cs.CV2024
Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack Segmentation
Hui Liu, Chen Jia, Fan Shi +4
Accurately segmenting structural cracks at the pixel level remains a major hurdle, as existing methods fail to integrate local textures with pixel dependencies, often leading to fr…