Abstract: We propose a learning-based DOA framework that selects subarray elements dynamically to address array distortion and path-dependent loss. A lightweight classifier is trained to activate ...
Abstract: Unsupervised feature selection is an important tool in data mining, machine learning, and pattern recognition. Although data labels are often missing, the number of data classes can be known ...
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