Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces.
Philipp BeckerHarit PandyaGregor H. W. GebhardtCheng ZhaoC. James TaylorGerhard NeumannPublished in: CoRR (2019)
Keyphrases
- high dimensional
- feature space
- low dimensional
- high dimensionality
- dimensionality reduction
- nearest neighbor search
- probabilistic networks
- data points
- kalman filter
- multi dimensional
- recurrent neural networks
- input space
- bayesian inference
- variable selection
- bayesian networks
- recurrent networks
- inference process
- metric space
- neural network
- similarity search
- nearest neighbor
- network structure
- high dimensional data
- feed forward
- training samples
- feature vectors
- social networks
- probabilistic inference
- data sets
- high dimensional feature space
- face recognition
- heterogeneous networks
- feature extraction
- biologically inspired
- support vector
- training set
- belief networks
- matrix factorization
- computer networks
- kernel methods