2 papers
cs.SD2025
AaSP: Aliasing-aware Self-Supervised Pre-Training for Audio Spectrogram Transformers
Kohei Yamamoto, Kosuke Okusa
Transformer-based audio self-supervised learning (SSL) models commonly use spectrograms, vision-style Transformers, and masked modeling objectives. However, convolutional patchific…
stat.ME2023
Sparse estimation in ordinary kriging for functional data
Hidetoshi Matsui, Yuya Yamakawa
We introduce a sparse estimation in the ordinary kriging for functional data. The functional kriging predicts a feature given as a function at a location where the data are not obs…