Scalable Kernel Methods via Doubly Stochastic Gradients.
Bo DaiBo XieNiao HeYingyu LiangAnant RajMaria-Florina BalcanLe SongPublished in: CoRR (2014)
Keyphrases
- kernel methods
- doubly stochastic
- kernel function
- reproducing kernel hilbert space
- poisson process
- weight matrix
- support vector
- support vector machine
- machine learning
- kernel matrix
- wavelet coefficients
- multiple kernel learning
- feature space
- computer vision
- kernel learning
- training data
- data mining
- wavelet transform
- pattern recognition
- multiscale