Sentence examples for manifold classification from inspiring English sources

Compared with traditional supervised learning method, PDL can significantly reduce the demand upon training samples and exhibits the potential to perform nonlinear manifold classification.

Vanishing component analysis (VCA) method, as an important method integrating commutative algebra with machine learning, utilizes the polynomial of vanishing component to extract the features of manifold, and solves the classification problem in ideal space dual to kernel space.

The aim of this classification is manifold.

This study presents a methodological framework for fusing optical and synthetic aperture radar (SAR) data at the pixel level with manifolds to improve ULC classification.

Finally, in Sect. 5 we specialize to Kobayashi-hyperbolic manifolds and give classifications for (dim mathrm{Bihol}(X)=N^2) and (dim mathrm{Bihol}(X)=N^2-1), withethe main result being a complete list of 2-dimensional manifolds whose automorphism groups have dimension 3. Let (X) be a topological space and ({mathcal H}(X)) the group of homeomorphisms of (X).

We propose to take advantage of this manifold structure for the effective classification of the object represented by the observation set.

The results show that DMELM consistently achieves better performance than original ELM and yields promising results in comparison with several state-of-the-art algorithms, which suggests that both the discriminative as well as manifold information are beneficial to classification.

According to their classification, an almost contact metric manifold is a nearly trans-Sasakian manifold if it belongs to this class.

The algebraic relations among the elementary rates, which describe the manifold, are discussed along with a classification of the unknowns in three classes: i) CSP radicals; ii) trace; and, iii) major species.

In the 1980s Thurston won a Fields Medal for his efforts to extend the geometric classification of two-dimensional manifolds to three dimensions.

With the physicist Nathan Seiberg he produced a family of partial differential equations that greatly simplified Simon Donaldson's approach to the classification of four-dimensional manifolds.