Sentence examples for projection kernel from inspiring English sources

The canonical-correlation kernel generally performs better than the projection kernel in the changing view scenario.

The canonical-correlation kernel is denoted as CC, kernel while projection kernel is termed as 'Proj'Proj

This may be due to the fact that projection kernel treats the image subspaces from a more holistic aspect.

Nevertheless, the projection kernel performs better than the canonical-correlation kernel in the clothing and carrying conditions.

In this paper, the projection kernel and canonical-correlation kernel are adopted as they are reported to provide good result [12, 14].

However, if the sample size is small, e.g., for the OU dataset, projection kernel does not have any advantage over the canonical-correlation kernel.

In Section 2, we briefly describe the preliminaries on wavelet scaling functions and orthogonal projection kernels.

Such metaspace representation approaches, which transform data into a homogeneous space enabling direct combination of modalities, are embedding projections and kernel space projections [ 6].

Let Y = S ( b ) and C = R ⊕ R ′, where R, R ′ are non-isomorphic regular modules of length 2. We may consider R, R ′ as submodules of Q ( a ) and we denote by f : Q ( a ) → S ( b ) the projection with kernel R, by f ′ : Q ( a ) → S ( b ) the projection with kernel R ′.

Combined functions using projection and kernel functions are found to be better than pure basis functions for the task of classification in several datasets.

Let p : M → N ′ = M 1 be the projection with kernel N, write p = ( p i ) i with p i : M i → M 1.