An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network.
Weiguo LuXuan WuDeng DingGangnan YuanPublished in: CoRR (2023)
Keyphrases
- gaussian mixture model
- gaussian mixture
- neural network
- learning algorithm
- mixture model
- em algorithm
- expectation maximization
- feature vectors
- probability density function
- maximum likelihood
- probability density
- density estimation
- mixture of gaussians
- background subtraction
- feature space
- supervised learning
- gaussian distribution
- pattern recognition
- training data
- machine learning algorithms
- text classification
- background model
- probabilistic model
- active learning
- reinforcement learning
- knn
- objective function
- similarity measure
- machine learning
- data mining