Abstract: This work considers the problem of continual learning (CL) in decentralized scenarios, which has recently attracted attention of the research community for enabling progressive learning in ...
Abstract: In the era of big data, dimensionality reduction is essential for addressing challenges posed by high-dimensional datasets. This paper empirically compares Principal Component Analysis (PCA) ...
Spatial reasoning is the ability to perceive, interpret, and act across spatial scales, from millimeter-sized components to distant aerial scenes. All-scale spatial reasoning is fundamental to ...
The "Dataset" folder contains the cube and cylinder data divided per class for 40 and 80 samples extracted from the grasp peaks. For each kind of objects we collected five classes, i.e. five hardness ...
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