Applying information theory and entropy to eliminate errors in mouse-tracking results.
Aleksandar JevremovicPanayiotis ZaphirisSasa Z. AdamovicMati MottusAndri IoannouPublished in: CoRR (2021)
Keyphrases
- information theory
- information theoretic
- statistical learning
- jensen shannon divergence
- statistical mechanics
- mutual information
- conditional entropy
- shannon entropy
- statistical physics
- relative entropy
- kullback leibler divergence
- machine learning
- error accumulation
- object tracking
- appearance model
- mean shift
- particle filter
- information geometry
- video surveillance
- maximum likelihood
- rate distortion theory