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06/18/2021
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
In this paper, we propose a Bayesian switching dynamical model for segme...
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09/10/2020
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting
We introduce deep switching auto-regressive factorization (DSARF), a dee...
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03/22/2020
Deep Markov Spatio-Temporal Factorization
We introduce deep Markov spatio-temporal factorization (DMSTF), a deep g...
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03/16/2020
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences
In this paper, we propose a computationally tractable and theoretically ...
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12/26/2019
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms
Due to their inherent variabilities, nanomaterial-based sensors are chal...
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02/03/2019
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences
This paper presents a novel unsupervised probabilistic model estimation ...
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11/19/2018
