Energy- and Quality-Efficient Approximate Multipliers for Neural Network and Image Processing Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2021.3072666
Abstract: Approximate computing is a new trend that trades off computational accuracy for lower energy dissipation and design complexity in various applications, where high precision is not a critical need. In this paper, energy- and quality-… read more here.
Keywords: multipliers neural; neural network; approximate multipliers; energy ... See more keywords
A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing
Sign Up to like & getrecommendations! Published in 2020 at "International journal of neural systems"
DOI: 10.1142/s0129065720500604
Abstract: Image anomaly detection is an application-driven problem where the aim is to identify novel samples, which differ significantly from the normal ones. We here propose Pyramidal Image Anomaly DEtector (PIADE), a deep reconstruction-based pyramidal approach,… read more here.
Keywords: image; network image; image anomaly; anomaly detection ... See more keywords