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The most important issue in multi-modal biometrics is how to fuse these individual modalities.
Fig. 6 ROC curves for individual modalities.
Among the individual modalities, encoders on passive compliant joints delivered best results.
Multimodal data fusion requires resolving several issues such as significantly different sampling frequencies of the individual modalities.
A hidden Markov model is used to model the sequence of observations of individual modalities.
Multimodal neuroimaging is increasingly used in neuroscience research, as it overcomes the limitations of individual modalities.
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To facilitate this process, a multi-modal process tomography system must allow individual modality data to be collected and combined effectively.
For the second experiment, the aim was to ascertain how efficient in terms of number of training samples the learning process was, with multi-modal representations, in comparison with each individual modality.
Such events are considered to be a projection to each individual modality.
Visuo-tactile approaches show considerable performance gains over either individual modality for the purpose of object recognition.
By combining the appearance and disparity in a linear fashion, we verified experimentally that the combined results are noticeably better than those for each individual modality.
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