A "Safe Kernel" Approach for Resilient Multi-Dimensional Consensus.
Jiaqi YanYilin MoXiuxian LiChangyun WenPublished in: CoRR (2019)
Keyphrases
- multi dimensional
- support vector
- kernel function
- range queries
- kernel methods
- multi dimensional data
- index structure
- reproducing kernel hilbert space
- multiple dimensions
- loss function
- sequential patterns
- data cube
- sequential pattern mining
- component analysis
- high dimensional
- feature space
- perceptron learning
- kernel pca
- mutual subspace method
- partial least squares regression
- data sets
- kernel learning
- gaussian processes
- input space
- similarity function
- hidden markov models
- face recognition