Sentence examples for supervised distance from inspiring English sources

In this work, we discuss a recently proposed approach for supervised dimensionality reduction, the Supervised Distance Preserving Projection (SDPP) and, we investigate its applicability to monitoring material's properties from spectroscopic observations.

In this work, we discuss a recently proposed approach for supervised dimensionality reduction, the Supervised Distance Preserving Projection and, we investigate its applicability to monitoring material's properties from spectroscopic observations.

Therefore, the used supervised distance measure in SLLE is linear.

Firstly, due to the used linear supervised distance, the interclass dissimilarity in SLLE keeps increasing in parallel while the intraclass dissimilarity is increased.

On one hand, with a nonlinear supervised distance measure, DKLLE considers both the intraclass scatter information and the interclass scatter information in a reproducing kernel Hilbert space (RKHS), and emphasizes the discriminant information.

A discirminant and kernel variant of LLE is developed by designing a nonlinear supervised distance measure and minimizing the reconstruction error in a RKHS, which gives rise to DKLLE.

Experimental results have shown that the proposed method outperforms state-of-the-art semi-supervised distance metric learning algorithms.

In [30], a semi-supervised distance metric learning technique integrates both log data and unlabeled data information, using a graph approach.

In supervised global distance metric learning, the representative work formulates distance metric learning as a constrained convex programming problem [ 27].

β is used to prevent the supervised kernel distance matrix KDist from increasing too fast when the kernel Euclidean distance matrix Dist is relatively large, since Dist is in the exponent.

where KDist is the supervised kernel distance matrix with the class label information, while Dist is the kernel Euclidean distance matrix without the class label information.