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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
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biblio
Reinforcement Learning inspired Deep Learned Compositional Model for Decision Making in Tracking
Submitted by grigby1 on Mon, 10/05/2020 - 1:01pm
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neural nets
object tracking
occlusion handling
partial occlusions
partially observable Markov decision making
penalty based training
pose estimation
pose estimation capabilities
multiple large video datasets
pubcrawl
Reinforcement learning
skeleton based part representation
Streaming media
target tracking
tracker
tracking
video signal processing
heuristic methods
Compositional Models
Compositionality
Computational modeling
computer science
Decision Making
deep learned compositional model
Deep Neural Network
deep reinforcement
cluttered background
human bodies
human inputs
image representation
incessant decision making
learning (artificial intelligence)
Markov processes
Mathematical model
