Exact(5)
Ben Duchac: "So my mom needed a new phone and she was game for an Android - she had been envying my HTC Incredible for about a year and was tired of her aging feature phone.
This comparative ranking layer facilitates aging feature learning and improves the performance of the main age estimation task.
An age estimation system is generally composed of aging feature extraction and feature classification; both of which are important in order to improve the performance.
For the aging feature extraction, the hybrid features, which are a combination of global and local features, have received a great deal of attention, because this method can compensate for defects found in individual global and local features.
Such an aging feature of ZSM-57 suggests that medium-pore zeolites with intersecting channels of two different pore sizes may be less stable as acid catalysts than those with uniform pore size, due to the geometrical constraints imposed by the dual pore system, even in the case that their 10-ring pore sizes are similar to each other.
Similar(55)
The facial skin aging features are extracted by using Local Gabor Binary Pattern Histogram (LGBPH) and wrinkle analysis.
Specifically, we use a convolutional neural network which can learn discriminative aging features from raw face images without any handcrafting.
Its main difficulty lies in how to design aging features that remain discriminative in spite of large facial appearance variations.
In order to learn more effective aging features, we further propose a comparative ranking layer which is supervised by a pair-wise comparative signal.
In this paper a novel method based on facial skin aging features and Artificial Neural Network (ANN) is proposed to classify the human face images into four age groups.
There was no significant correlation for any of the hair aging features with the skin aging features or the perceived age data generated from the facial images.
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