Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition.
S. Hamidreza KasaeiLuís Seabra LopesAna Maria ToméPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2020)
Keyphrases
- open ended
- latent topics
- topic models
- latent dirichlet allocation
- learning process
- learning algorithm
- topic modeling
- reinforcement learning
- prior knowledge
- linear discriminant analysis
- latent variables
- principal component analysis
- dimension reduction
- unsupervised learning
- dimensionality reduction
- object recognition
- probabilistic latent semantic analysis
- probabilistic topic models