Domain adaptation for time-series classification to mitigate covariate shift
The performance of a machine learning model degrades when it is applied to data from a
similar but different domain than the data it has initially been trained on. To mitigate this …
similar but different domain than the data it has initially been trained on. To mitigate this …
Mm-alt: A multimodal automatic lyric transcription system
Automatic lyric transcription (ALT) is a nascent field of study attracting increasing interest
from both the speech and music information retrieval communities, given its significant …
from both the speech and music information retrieval communities, given its significant …
Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network
Handwriting with digital pens is a common way to facilitate human–computer interaction
through the use of online handwriting (OH) trajectory reconstruction. In this work, we focus …
through the use of online handwriting (OH) trajectory reconstruction. In this work, we focus …
Deep semi-supervised learning for time-series classification
J Goschenhofer - Deep Learning Applications, Volume 4, 2022 - Springer
While deep semi-supervised learning has gained much attention in computer vision, limited
research exists on its applicability in the time-series domain. In this work, we investigate the …
research exists on its applicability in the time-series domain. In this work, we investigate the …
Auxiliary cross-modal representation learning with triplet loss functions for online handwriting recognition
Cross-modal representation learning learns a shared embedding between two or more
modalities to improve performance in a given task compared to using only one of the …
modalities to improve performance in a given task compared to using only one of the …
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
The performance of a machine learning model degrades when it is applied to data from a
similar but different domain than the data it has initially been trained on. The goal of domain …
similar but different domain than the data it has initially been trained on. The goal of domain …