Sentence examples for kernel feature from inspiring English sources

Specifically, we proposed a novel ℓ2,1 norm balanced multiple kernel feature selection (ℓ2,1 MKFS), and designed a proximal based optimization algorithm for efficiently learning the model.

Aimed at the multimode non-Gaussian process with within-mode nonlinearity, the developed NKGMM approach projects the operating data from the raw measurement space into the high-dimensional kernel feature space.

In order to overcome this limitation, we extend DCV with kernel trick with the space isomorphic mapping view in the kernel feature space and develop a two-phase algorithm of KPCA + DCV.

Figure 5 Deriving a new image in kernel feature space.

The third step was to design or to generate a new point in the kernel feature space using a kernel feature space algorithm.

Repeat until convergence: Sparse coding on the kernel feature space: (1) Perform the OMP algorithm.

We demonstrate the discriminative power of heat kernel features in both synthetic and clinical preterm data.

Our approach is explored by the synthesis of three kernel features.

In addition, we are exploring a hybrid kernel-in-deep learning network (KiDNet) to seamlessly embed kernel features into deep learning neural networks.

Multiple Empirical Kernel Learning (MEKL) explicitly maps samples into different empirical feature spaces in which the kernel features of the mapped samples can be directly provided.

This ease of complexity allows for a highly flexible discretization kernel featuring arbitrary irregular meshes and a continuous refinement and coarsening throughout the simulation runtime.