Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...
Abstract: Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are ...
Abstract: Impulsive noise (IN) can significantly degrade the performance of underwater acoustic communication systems. In this paper, we propose a parallel sparse Bayesian learning (P-SBL) algorithm ...
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