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Zhou and Yang [20] have proposed fusing feature Fisher classifier (F3C) approach where the face image is first divided into smaller subimages and then the discrete cosine transform (DCT) technique is applied to the whole image and some subimages to extract the holistic and local facial features.
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Here we proposed a novel approach to predict the subcellular localization of bacterial proteins by fusing features from position-specific score matrix (PSSM), Gene Ontology (GO) and PROFEAT.
Since evidence theory has shown high efficiency in handling uncertain information, an evidence fusion-based framework for condition evaluation has been presented in this paper to improve the certainty and precision of evaluation decisions by fusing features extracted from different sources of evidence.
The authors in [ [16]] performed continuous-scale emotion tracking in movies, fusing features from audio, music, and video modalities.
Finally, with the fused feature maps, a softmax classifier is used to diagnose thyroid nodules.
Secondly, we fuse feature maps learned by trained convolutional filters, pooling and normalization operations of the two CNNs.
Finally, the object locations are efficiently predicted by applying the multi-channel correlation filter on the fused feature maps.
For example, multi-biometric systems with two biometric traits commonly adopt a 50 50 feature proportion setting, which means that fused feature data contains half elements from each biometric modality.
To achieve the target, a novel action detection model with two-stream architecture is firstly proposed, which utilizes the fused feature from both appearance and motion cues and can be trained end-to-end.
In addition, decoding times increase only sightly due to the compact representation of fused feature sets.
But by far the most impressive thing I saw today was the Photo Fuse feature that they've added.
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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