Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102048
Abstract: Recently, single-stage embedding based deep learning algorithms gain increasing attention in cell segmentation and tracking. Compared with the traditional "segment-then-associate" two-stage approach, a single-stage algorithm not only simultaneously achieves consistent instance cell segmentation and tracking… read more here.
Keywords: shift; mean shift; faster mean; segmentation tracking ... See more keywords
Few-Shot Transfer Learning for Text Classification With Lightweight Word Embedding Based Models
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2911850
Abstract: Many deep learning architectures have been employed to model the semantic compositionality for text sequences, requiring a huge amount of supervised data for parameters training, making it unfeasible in situations where numerous annotated samples are… read more here.
Keywords: shot transfer; based models; embedding based; transfer learning ... See more keywords
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3019095
Abstract: Smart grids are power grids where clients may actively participate in energy production, storage and distribution. Smart grid management raises several challenges, including the possible changes and evolutions in terms of energy consumption and production,… read more here.
Keywords: smart grids; embedding based; change detection; detection ... See more keywords
ReMEMBeR: Ranking Metric Embedding-Based Multicontextual Behavior Profiling for Online Banking Fraud Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3052950
Abstract: Anomaly detection relies on individuals’ behavior profiling and works by detecting any deviation from the norm. When used for online banking fraud detection, however, it mainly suffers from three disadvantages. First, for an individual, the… read more here.
Keywords: fraud detection; online banking; embedding based; behavior ... See more keywords
Variational deep embedding-based active learning for the diagnosis of pneumonia
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1059739
Abstract: Machine learning works similar to the way humans train their brains. In general, previous experiences prepared the brain by firing specific nerve cells in the brain and increasing the weight of the links between them.… read more here.
Keywords: based active; pneumonia; active learning; embedding based ... See more keywords