Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings.
Aviral KumarSunita SarawagiUjjwal JainPublished in: ICML (2018)
Keyphrases
- neural network
- kernel function
- camera calibration
- pattern recognition
- support vector
- fuzzy logic
- vector space
- hilbert space
- euclidean space
- multilayer perceptron
- neural network model
- kernel methods
- low dimensional
- dimensionality reduction
- artificial neural networks
- genetic algorithm
- machine learning
- reproducing kernel hilbert space
- kernel matrix
- fuzzy systems
- neural nets
- stereo camera
- gaussian processes
- training process
- camera parameters
- similarity search
- manifold learning
- feature space
- radial basis function
- data points
- self organizing maps