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Online continual learning for embedded devices
Real-time on-device continual learning is needed for new applications such as home robots,
user personalization on smartphones, and augmented/virtual reality headsets. However, this …
user personalization on smartphones, and augmented/virtual reality headsets. However, this …
Automated identification of abnormal infant movements from smart phone videos
E Passmore, AL Kwong, S Greenstein… - PLOS digital …, 2024 - journals.plos.org
Cerebral palsy (CP) is the most common cause of physical disability during childhood,
occurring at a rate of 2.1 per 1000 live births. Early diagnosis is key to improving functional …
occurring at a rate of 2.1 per 1000 live births. Early diagnosis is key to improving functional …
[PDF][PDF] Performance analysis of samplers and calibrators with various classifiers for asymmetric hydrological data
Asymmetric data classification presents a significant challenge in machine learning (ML).
While ML algorithms are known for their ability to classify symmetric data effectively …
While ML algorithms are known for their ability to classify symmetric data effectively …
A Continual Learning Method for Reducing Class Interference Based on Replay
Although deep neural networks perform well on many individual tasks, they suffer from
catastrophic forgetting when learning new tasks continually. Recently, various continual …
catastrophic forgetting when learning new tasks continually. Recently, various continual …
[PDF][PDF] Generalized Class Incremental Learning For Classifying Work Equipment
N de Rooij, MS Nobile, Y Zhang, P van Oostrum - research.tue.nl
Executive summary Employers in the Netherlands are obliged to have specific work
equipment inspected to guarantee a safe workplace based on the 'Arbobesluit'(Working …
equipment inspected to guarantee a safe workplace based on the 'Arbobesluit'(Working …
Large-scale deep class-incremental learning
E Belouadah - 2021 - theses.hal.science
Incremental learning (IL) enables the adaptation of artificial agents to dynamic environments
in which data is presented in streams. This type of learning is needed when access to past …
in which data is presented in streams. This type of learning is needed when access to past …