How can a machine learning model be trained to classify flowers? The fundamental question behind this is how a machine learning model categorizes data like the flower pictures. Adaline (Adaptive ...
Abstract: This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation ...
Abstract: The recently developed approach to motion planning in graphs of convex sets (GCS) provides an efficient framework for computing shortest-distance collision-free paths using convex ...
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