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Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data
It is challenging to use incomplete multimodality data for Alzheimer’s Disease (AD) diagnosis. The current methods to address this challenge, such as low-rank matrix completion (i.e., imputing the missing values and unknown labels simultaneously) and multi-task learning (i.e., defining one regressio...
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| I publikationen: | Med Image Comput Comput Assist Interv |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5790115/ https://ncbi.nlm.nih.gov/pubmed/29392246 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-66179-7_9 |
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