Supervised learning probabilistic Latent Semantic Analysis for human motion analysis.
Jin WangPing LiuMary Fenghua SheAbbas Z. KouzaniSaeid NahavandiPublished in: Neurocomputing (2013)
Keyphrases
- human motion analysis
- probabilistic latent semantic analysis
- supervised learning
- co occurrence
- human body
- visual features
- latent semantic analysis
- unsupervised learning
- gait analysis
- semi supervised
- probabilistic model
- latent dirichlet allocation
- markerless
- negative matrix factorization
- training data
- topic models
- learning algorithm
- view invariant
- training set
- machine learning
- human motion
- labeled data
- topic modeling
- expectation maximization
- active learning
- em algorithm
- scene classification
- augmented reality
- motion analysis
- information retrieval
- object recognition
- motion tracking
- motion capture
- three dimensional
- high level
- d objects
- prior knowledge
- image retrieval