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pro vyhledávání: '"Dabhi, Shrey"'
Autor:
Dabhi, Shrey, Parmar, Manojkumar
Real-world events exhibit a high degree of interdependence and connections, and hence data points generated also inherit the linkages. However, the majority of AI/ML techniques leave out the linkages among data points. The recent surge of interest in
Externí odkaz:
http://arxiv.org/abs/2006.09022
Synthetic Aperture Radar (SAR) images contain a huge amount of information, however, the number of practical use-cases is limited due to the presence of speckle noise in them. In recent years, deep learning based techniques have brought significant i
Externí odkaz:
http://arxiv.org/abs/2004.11021
Autor:
Dabhi, Shrey, Parmar, Manojkumar
Applications related to artificial intelligence, machine learning, and system identification simulations essentially use eigenvectors. Calculating eigenvectors for very large matrices using conventional methods is compute-intensive and renders the ap
Externí odkaz:
http://arxiv.org/abs/2002.04989