Sentence examples for extraction network from inspiring English sources
Wu et al. [40] proposed the feature extraction network named Feature Fusion Net (FFN) for pedestrian image representation, which combines CNN embeddings with the hand-crafted features in a fully connected layer.
In addition, the old reservoirs provide left over equipments and extraction networks that can be reused to save the cost of construction.
In order to identify novel genes and their products that might be instrumental in networks leading from acute to repeated stress, we applied a strategy that allowed us the re-construction of Egr1-centered networks and the extraction of network neighbors from expression profiles identical to that of Egr1.
On total removal of the plasticizer by extraction, the network structure collapsed and formed structures with a high crystalline content.
Extraction of network configuration information, though, would be impossible, assuming a strong encryption scheme.
Nevertheless, I still very much struggled to understand whether this extraction of network structure was (a) valid or (b) important.
On the other, it is clear that the spatial resolution of the ECoG data far surpasses this research, and the extraction of network structure is very different from what has gone before.
Data extraction Bayesian network meta-analysis combined direct and indirect evidence to estimate the relative effects between treatments as well as the probabilities of ranking for treatments based on their protective effects.
Network theory The extraction of topological network and ranking of network nodes from big data is a complex process due to inherent big data complexity.
One of these algorithms (pairwise K-shortest paths) has been developed for this study and two other algorithms (Takahashi Matsuyama, kWalks) have apparently not yet been applied before to sub-network extraction in biological networks.
Though striking progress is occuring in the extraction of networks using a range of experimental data[8], [9], knowledge of signaling networks remains predominantly at the level of topology rather than detailed knowledge of the rate constants and non-linear message passing which occurs in the networks.
