A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...
On a late Friday afternoon in September, in the Morrisania section of the Bronx, two boys kicked a flat basketball back and forth over a basement grate on Prospect Avenue. Around the corner on East ...
Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
Abstract: Convolutional neural networks (CNNs) and graph neural networks (GNNs) are two widely used architectures in hyperspectral image (HSI) classification. Most CNN models tend to heavily rely on ...