3 accepted papers
Class-incremental learning (CIL) has recently gained great attention in the field of time series classification. Existing CIL methods based on knowledge distillation exhibit impressive ability to retain prior knowledge and overcome catastrophic forgetting, however, their effectiveness faces major c
The growing volume of remote sensing (RS) data highlights the need for enhanced data integration and processing. While combining hyperspectral and LiDAR data improves analysis by addressing spectral variability, challenges persist due to the high dimensionality, noise, and outliers in hyperspectral…
The data streams arising in many applications can be modeled as a union of low-dimensional subspaces known as multi-subspace data streams (MSDSs). Clustering MSDSs according to their underlying low-dimensional subspaces is a challenging problem which has not been resolved satisfactorily by existing…