Abstract: In recent years, sparse unmixing (SU) has garnered significant attention in hyperspectral images (HSI) because it does not require endmember estimation, relying instead on prior spectral ...
Abstract: Classification of electroencephalogram-based motor imagery (MI-EEG) tasks is crucial in brain–computer interface (BCI). EEG signals require a large number of channels in the acquisition ...
Multi-modal Graph Convolution Network is a novel multi-modal recommendation framework based on graph convolutional networks, explicitly modeling modal-specific user preferences to enhance micro-video ...
Tsinghua University scientists have developed a light-driven AI chip, OFE², utilizing photonic circuits to process data at 12.5 GHz.
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
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Brazilian researchers have developed a technique that estimates the force exerted on each grain of sand in a dune from images ...
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Now that we've unpacked some iconic tagline examples, let's take a second to savour what makes them so deliciously effective at sticking around. Have you ever heard those slogans that never seem to ...
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