Boosting the kernelized shapelets: Theory and algorithms for local features.
Daiki SuehiroKohei HatanoEiji TakimotoShuji YamamotoKenichi BannaiAkiko TakedaPublished in: CoRR (2017)
Keyphrases
- computational cost
- learning algorithm
- benchmark datasets
- low level
- feature selection algorithms
- data structure
- nearest neighbor algorithm
- feature space
- feature extraction
- feature set
- theoretical analysis
- machine learning methods
- noise tolerant
- interesting features
- learning vector quantization
- neural network
- classification models
- theoretical framework
- worst case
- image features
- lower bound
- feature selection
- computer vision