A stable multi-scale kernel for topological machine learning.
Jan ReininghausStefan HuberUlrich BauerRoland KwittPublished in: CVPR (2015)
Keyphrases
- machine learning
- multiscale
- kernel methods
- machine learning algorithms
- machine learning methods
- decision trees
- data mining
- natural images
- pattern recognition
- support vector
- image processing
- learning algorithm
- coarse to fine
- computer science
- active learning
- information extraction
- wavelet transform
- natural language processing
- kernel function
- scale space
- learning systems
- classification and regression problems
- text classification
- text mining
- knowledge discovery
- model selection
- euler number
- feature selection
- reproducing kernel hilbert space
- multiple scales
- machine learning approaches
- computational biology
- gaussian processes
- inductive logic programming
- support vector machine
- computational intelligence
- local binary pattern
- natural language
- learning tasks
- knowledge representation
- kernel regression
- topological spaces
- supervised learning
- convolution kernel