… features in face images. This paper proposes a novel facial feature extraction method named
Gabor Ordinal … Thirdly, this paper has shown that fusion of image level ordinal measures (…

… derives a separating hyperplane to divide face instances into two groups: samples with …
facial features, we construct multiple ordinal ranking models, each corresponding to a feature …

… , and then, the output features of two streams are fused via concatenation according to the
channel dimension. The two-stream fused features are processed by the fourth block later. An …

… The second direction is semiautomatic age feature extraction and fusion, while the belief …
to the ordinal regression type. Here we also used the ResNet18 for facial feature extraction in …

… Although not strictly ordinal, relative uncertainty modelling is explored for facial expression …
fusion methods as the baselines: feature fusion, temporal context fusion, and prediction fusion…

… relationships such as the quadruplet and triplet-based comparisons among face samples,
we propose an ordinal deep feature learning (ODFL) method to learn the high-order ordinal …

… criminative information of face images. … feature selection methods to model face variations.
Also as future work, Gabor phase features can be further exploited for the fusion with Ordinal …

… We used late fusion for combination by averaging the prediction scores from each model.
With this setup, we achieve state-of-the-art results on the three datasets. We now discuss some …

… regression approach for modeling multivariate ordinal variables. Our model accounts for
ordinal structure in output … Shochi, “Facial action units intensity estimation by the fusion of …

… Based on the fact that several ordinal measures on facial images, such … fusion strategies,
namely, fusion of dilobe and trilobe ordinal filters at score-level based on Sum rule, and fusion …