A novel face recognition method based on multi-features using a neural networks committee (NNC) machine is proposed in this paper.
Section 2 describes the location model based on multi-feature crowd fusion.
To sum up, the embedded tracking algorithm based on multi-feature fusion and localization of visual target compression is shown in Fig. 4.
Based on the results of the above researches, the embedded tracking algorithm based on multi-feature crowd fusion and visual object compression was proposed for mobile object tracking.
Based on a tweets' emotional dictionary, sentiment analysis based on weighted emotional words meaning and sentiment analysis based on multi-feature fusion.
In order to improve the positioning accuracy and the quality of tracking service, we propose an embedded tracking algorithm based on multi-feature fusion and visual object compression.
The weather is cloudy, the sun is not enough, the embedded tracking algorithm based on multi-feature fusion and visual target compression is recorded as ET-MVC, and the target object feature tracking algorithm is denoted as T-OTF.
In order to improve the positioning accuracy and improve the quality of tracking service, we propose an embedded tracking algorithm based on multi-feature crowd fusion and visual object compression.
A fuzzy based relay based on multi criteria algorithm for ID is proposed in [95].
Data collection was based on multi-stage, multi-cluster surveys of health facilities, clients and providers.
Three were based on an F2 design (including one reciprocal cross) and one was based on multi-stage crosses.
