Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis.

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Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis.

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Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis.

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Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis.

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P1476

Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis.

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P2093

David Cárdenas-Peña

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Diego Collazos-Huertas

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German Castellanos-Dominguez

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P2860

Learning Deep Architectures for AI

Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers

Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements.

A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume.

Multimodal classification of Alzheimer's disease and mild cognitive impairment.

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge.

Domain adaptation for Alzheimer's disease diagnostics.

Multiple kernel learning in the primal for multimodal Alzheimer's disease classification.

Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex.

Neural decoding with kernel-based metric learning.

P304

413

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P31

scholarly article

P356

10.3389/FNINS.2017.00413

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P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-07-26T00:00:00Z

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P698

28798659

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P932

5526982

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