Your English writing platform
Discover LudwigExact(4)
We also present a multi-scale object and face recognition model.
If the face recognition model cannot certify a particular person, that person may be required to use their key to get into the building.
First, a building authentication system can use it to decide whether a prediction is sufficiently robust to rely on the face recognition model to make an automated decision, or whether additional authentication is required.
In terms of the performance for a face recognition model based on deep network, there are two main closely related factors: 1) the structure of the deep neural network, and 2) the number and quality of training data.
Similar(56)
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the nonlinear discriminating features, and recognising moving faces dynamically in image sequences.
Three different neural network models were applied to face recognition, using single images of each subject to train the system.
We present a biologically plausible model composed of two stages: Pre-processing and face recognition.
This paper first proposes a multi-objective uniform design (MOUD) search method as a SVM model selection tool, and then applies this optimized SVM classifier to face recognition.
MSNP is evaluated in three applications: data visualization for faces image, face recognition and palmprint recognition.
Well, face recognition is historically very expensive.
For example, neither Heider's attribution theory nor Bruce and Young's (1986) model of face recognition encompass an ontological model of the target agent's historical persistence and sociocultural context analogous to the left-hand part of Fig. 2.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com