Abstract: Deep Neural Networks (DNN) have realized significant achievements across various application domains. There is no doubt that testing and enhancing a pre-trained DNN that has been deployed in ...

Abstract: This study presents a DOA estimation method without angular ambiguity using a transformed covariance matrix differencing approach, with the aim of mitigating the impact of the correlation ...

Deep Learning-based embeddings are used widely for “dense retrieval” in information retrieval, computer vision, NLP, amongst others, owing to capture diverse types of semantic information. This ...