research
∙
03/18/2022
Soft Smoothness for Audio Inpainting Using a Latent Matrix Model in Delay-embedded Space
Here, we propose a new reconstruction method of smooth time-series signa...
share
research
∙
03/10/2022
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches
This study proposes a framework for manifold learning of image patches u...
research
∙
02/25/2020
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
This work proposes a novel approach for multiple time series forecasting...
research
∙
08/08/2019
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"
Deep image prior (DIP), which utilizes a deep convolutional network (Con...
research
∙
04/05/2018
Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space
Let us consider a case where all of the elements in some continuous slic...
research
∙
01/10/2018
