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A framework for multiview gesture recognition is illustrated in Figure 1.
The potential of combined attention and recognition is illustrated by replacing the first layer of the HMAX architecture with a saliency network.
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The differences between these two modes of recognition are illustrated in Figure 5.
Coverage of the N-best speaker recognitions is illustrated in Figure 4b.
The trade-off among computational efficiency, memory requirements and recognition performance is illustrated quantitatively via three example systems, one for the recognition of isolated Chinese words and the other two for the recognition of English and Chinese digit strings, respectively.
The overall recognition procedure is illustrated in Figure 7. First, we collect several repetitions as the training sequence for each person.
A schematic of this complex recognition system is illustrated in Figure 3.
The difference between these two tasks is illustrated by considering the analogy of performing isolated word recognition with HMMs and employing HMMs in continuous speech recognition.
It is illustrated in the domain of 3D brain structure recognition using an anatomical atlas.
The experience of ILD in Japanese patients treated with gefitinib is illustrated in detail and includes four detailed case reports to aid recognition.
This is illustrated by the use of flow cytometry to identify immune cell populations based on the recognition of increasing numbers of membrane antigens by specific antibodies.
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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