Sentence examples for based on deep features from inspiring English sources

Our method combines the advantage of end-to-end tracking based on deep features in SiamFC and online model-update in correlation filter trackers based on hand-crafted features.

In this section, we introduce a method that integrates the colour saliency probability with the depth saliency probability computed from Gaussian distributions based on deep features and yields a prediction of the final 3D saliency map using the DMNB model within a Bayesian framework.

In contrast, the framed task condition did not appear to primarily shift non biology majors' results toward a more expert framework based on deep features.

Strikingly, biology faculty grouped cards together in a manner we hypothesized experts would, grouping cards primarily based on deep features (fundamental biological principles).

Novices (nonmajors in a laboratory course) sorted questions based on surface features such as the type of organism, whereas faculty sorted them based on "deep features," or core concepts.

We hypothesized that biological novices would be most likely to sort biology problems based on the surface feature of organism type and that biological experts would be most likely to sort based on deep features of the problems, namely, core biological concepts.

In consequence, the proposed ensemble classifier MLP-CNN harvests the complementary results acquired from the CNN based on deep spatial feature representation and from the MLP based on spectral discrimination.

As hypothesized, non biology majors did not appear to group cards based primarily on deep features; however, they also did not appear to group cards based on surface features, as we had hypothesized they would.

This article investigates speech feature enhancement based on deep bidirectional recurrent neural networks.

To cope with this need, in this paper we propose Appearance and Motion DeepNet (AMDN), a novel approach based on deep neural networks to automatically learn feature representations.

In this paper, a deep learning approach based on deep belief networks (DBN) is developed to learn features from frequency distribution of vibration signals with the purpose of characterizing working status of induction motors.