Sentence examples for multilayer features from inspiring English sources

We train on three sets of features - spatial interactions, social interactions, and multilayer features which are summarised in Table 2.

Once the deep deconvolutional network is trained, we can use it to infer the multilayer features of a given left I L and right I R stereo images for which we want to estimate the dense disparity map.

We evaluate the likelihood of forming a social tie as a process that depends on a union of factors, using the Foursquare, Twitter, and multilayer features we have defined up until now in a supervised learning approach, and comparing their predictive power in each feature set respectively.

In predicting links which span both networks, we achieve the highest AUC score of 0.88 from our multilayer features set which is higher than results for each single network, suggesting that multilayer frameworks can be a useful tool for social bootstrapping and friend recommendations due their comprehensive perspective on the online social 'ecosystem'ecosystem

Figures C-E focus on the second prediction task - predicting multiplex links using Twitter features (C), using Foursquare features (D) and using multilayer features (E). Figure 5(A) shows the ROC curves and respective AUC scores for each city in predicting Foursquare links from Twitter features, ranging between 0.7 for the New York dataset to 0.81 for Chicago, and 0.73 for San Francisco.

The brittle failure along the scratch scars of the single-layer TaN coatings is suppressed by the multilayer feature.

Although the multilayer feature for HfN coating by various power input modulation did not exhibit significant improvement for hardness, the scratch resistance was elevated.

In addition to this, there are lot of avenues where the use of unsupervised MKL with both single and multilayer kernels in the multilayer feature extraction framework have to be evaluated.

These results show the effectiveness of using the learning-based multilayer feature matching cost E F (d) in our approach.

The data term is defined using the combination of intensity and the learning-based multilayer feature matching costs.

The multilayer feature is traceable through multiple adjacent slices and occurs in the same region of the grain rim in each slice.