A Novel Similarity Based Unsupervised Technique for Training Convolutional Filters
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3277253
Abstract: Achieving satisfactory results with Convolutional Neural Networks (CNNs) depends on how effectively the filters are trained. Conventionally, an appropriate number of filters is carefully selected, the filters are initialized with a proper initialization method and… read more here.
Keywords: based unsupervised; similarity based; novel similarity; convolutional filters ... See more keywords
Unsupervised Technique for Automatic Selection of Performance Indicators in Self-Organizing Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2017.2728012
Abstract: Self-organizing networks (SONs) aim at automating the management of cellular networks. However, tasks, such as the selection of the most appropriate performance indicators for SON functions, are still carried out by experts. In this letter,… read more here.
Keywords: organizing networks; selection; unsupervised technique; self organizing ... See more keywords