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cs.LG2022★ 1 cited
CFARnet: deep learning for target detection with constant false alarm rate
Tzvi Diskin, Yiftach Beer, Uri Okun +1
We consider the problem of target detection with a constant false alarm rate (CFAR). This constraint is crucial in many practical applications and is a standard requirement in clas…
cs.LG2022★ 2 cited
Learning to Detect with Constant False Alarm Rate
Tzvi Diskin, Uri Okun, Ami Wiesel
We consider the use of machine learning for hypothesis testing with an emphasis on target detection. Classical model-based solutions rely on comparing likelihoods. These are sensit…