Sentence examples for by fusing the feature from inspiring English sources

As a result, a comprehensive way to rank the risk of failure modes is proposed by fusing the feature information of O, S and D with Dempster Shafer (D S) evidence theory.

Excitement measures are computed by fusing the feature parameters using equal weights.

Data-driven virtual sensing techniques are favorable by fusing the extracted features from noisy online measurements to infer the difficult-to-measure parameters based on artificial intelligence models (Gelman et al. 2013).

It designs the model by fusing the depth and 2D features into the saliency measurement, based on the mechanisms of the HVS [19].

We further propose a novel leaf venation extraction algorithm that can obtain illumination-independent surface normal features by performing Photometric Stereo reconstruction as well as local shape measures by fusing the decoupled shape index and curvedness features.

The feature fusion was achieved by concatenating the features vectors extracted from the EEG and the HRV signals while the classifier fusion was accomplished by fusing the independent decisions from individual classifiers based on EEG and HRV.

Finally, we design an effective mechanism for credit feature maps selection depending on aggregation degree, and the final saliency map is reconstructed by fusing credit feature maps.

In this paper, a recurrent hybrid network architecture is designed for action recognition by fusing multi-source features: a two-stream CNNs for learning semantic features, a two-stream single-layer LSTM for learning long-term temporal feature, and an Improved Dense Trajectories (IDT) stream for learning short-term temporal motion feature.

Here we proposed a novel approach to predict the subcellular localization of bacterial proteins by fusing features from position-specific score matrix (PSSM), Gene Ontology (GO) and PROFEAT.

Since evidence theory has shown high efficiency in handling uncertain information, an evidence fusion-based framework for condition evaluation has been presented in this paper to improve the certainty and precision of evaluation decisions by fusing features extracted from different sources of evidence.

As it has previously been shown that, when an ensemble model is employed, building the model from a fused set of data types is favored compared to fusing ensemble models built from the individual data type [ 35], we combined the two data types by fusing them into one feature set before applying the random forest algorithm.