In research that could be useful in making more capable robots, Brown University mathematicians developed an artificial ...
Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...
Abstract: This study investigates the practical performance of neural-network post-filters standardized in ITU-T H.274. We implement neural-network models on a Field-Programmable Gate Array (FPGA), ...
Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results