Abstract: Atomic norm minimization (ANM) is a well-established approach to spectral compressed sensing that estimates the frequencies on the continuum and offers theoretical recovery guarantees. But ...
Abstract: As a low-rank regularization technique, the tensor nuclear norm (TNN) has been extensively employed for hyperspectral anomaly detection (HAD). However, traditional TNN and its variants often ...
A small British software startup called Spectral Compute Ltd. believes it has what it takes to break Nvidia Corp.’s ...
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