Sentence examples for two dimension reduction from inspiring English sources

Besides, we investigate two dimension reduction methods and successfully merge them to our framework to compact the final image representation.

As a major part of decision-making procedure, the possibilities of two dimension reduction methods were tested.

Besides, we investigate two dimension reduction methods: Tensor Sketch approximation [9] and Mutual Information dimension selection [10] to compact FV-CNN which is rather high-dimensional and cannot be generalized to large-scale task.

Two dimension reduction techniques, principal component analysis (PCA) and scattering matrices-based dimension reduction were used to examine the possible classification of those findings, and to extract the most discriminant features.

Hence, we consider three dimension reduction methods: LSA, LLE and Isomap.

Because of the high dimensionality of our data, we employed two dimension-reduction schemes to visualize the organizational logic underlying the projections of different PNs.

Since 3D imaging utilizes 2 phase encode directions, reductions in the echo train can be attained by undersampling along the two dimensions, reducing significantly the spatial encoding times.

Table 3 Dimensions chosen by the marginal tests for each of the five sufficient dimension reduction methods Method (Y_1) (Y_2) (Y_3) SIR 5 6 3 Partial SIR 12 12 11 SAVE 15 14 15 yPHD 14 15 14 rPHD 12 12 12.

Furthermore, we introduce three different dimension reduction methods that have been validated to be effective in many fields.

Using the 331 mortality-associated transcripts, we proceeded to test and utilize three different dimension reduction methods for feature selection.

In order to effectively select a subset of representative features and construct a more robust family discovery method, three different dimension reduction methods are introduced here.