In addition to the financial burdens of HEVC licensing, the risk of lawsuits from patent holders can deter companies from ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: In this letter, a method based on an encoder–decoder fully convolutional network is proposed for the efficient synthesis of planar arrays fulfilling user-defined beampattern masks. The ...
Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...
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Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
ABSTRACT: Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction ...
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