Sentence examples for visualize features from inspiring English sources

Grant could also look at a map and visualize features of geography and topography he had never seen.

Zeiler and Fergus [15] introduced the process of deconvolution as a technique to visualize features that are learned by a ConvNet.

High-resolution X-ray computed tomography, a completely non-destructive technique that can be used to visualize features in the interior of opaque solids, was successfully adapted in a novel manner to examine the transport dynamics of methanol into glassy poly methyl methacrylate) discs synthesized by an iniferter-mediated free radical polymerization.

A goal of our work was to determine if we could see these structures for virus imaged in situ (and without digestion) and if so, to determine if the multiple tilt series acquisition and processing schemes help visualize features otherwise seen only in higher resolution studies of these fiber-free isolated capsids.

The use of multiple modalities allows us to combine the complementary strengths of each modality to better visualize features of interest.

This indicates that MRI seems to be able to visualize features underlying crepitus, while CR is not.

We present an integrative analysis tool to inter-connect disease subphenotypes and visualize feature intensity patterns.

This may be not only helpful to visualize feature representation but also contribute to analyze the reason of some incorrect classification results for designed feature.

Further, we will discuss the higher layer visualizing feature combining the lower layer visualizing features, such as color and texture, to find the most suitable methods to classify the small sample target objects in the complex sky background.

In Fig. 1, the higher layer visualizing features of the cross-domain images are extracted based on the SAE model; the higher layer visualizing feature extraction module is based on the unsupervised learning methods, using the back propagation (BP) training AutoEncoder (AE) Neural Network (NN).

The sparse constraint is joined in the hidden layer NN to learn the typical local features of image sub-block, and the image edge information is strengthened through the whitening operation, which obtains the better visualizing features.