research
∙
07/12/2023
Multi-Object Tracking as Attention Mechanism
We propose a conceptually simple and thus fast multi-object tracking (MO...
share
research
∙
02/20/2023
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification
Theoretically-inspired sequential density ratio estimation (SDRE) algori...
research
∙
10/28/2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
We derive and solve an “Equation of Motion” (EoM) for deep neural networ...
research
∙
07/08/2022
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
Time series data are often obtained only within a limited time range due...
research
∙
05/28/2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
We propose a model for multiclass classification of time series to make ...
research
∙
06/10/2020