Multi-dimensional EEG analysis reveals distinct neurophysiological patterns in Alzheimer's and frontotemporal dementia. [PDF]
Cai G, Shi Y, Ma J, Zhang X, Wu W.
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Essential Tremor Severity Assessment Using Handwriting Analysis and Machine Learning. [PDF]
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Stable Longitudinal Screening of Latent Physiological Dysregulation from Psychometric Data Using Machine Learning. [PDF]
Alecu AA.
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Cross-Modal Alignment and Rectified Flow-Based Latent Representation Synthesis for Enhanced Speech-Driven Alzheimer's Disease Detection. [PDF]
Xiang S, Ling H, Wu M.
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Representation learning of single-cell RNA-seq data. [PDF]
Ahlmann-Eltze C +4 more
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Research on the detection of foreign materials in tobacco shreds based on hyperspectral reflection imaging technology combined with machine learning. [PDF]
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Nonlinear barycentric dimensionality reduction
2010 IEEE International Conference on Image Processing, 2010Many high-dimensional datasets can be mapped onto lower-dimensional linear simplexes, parametrized by barycentric coordinates. We present an unsupervised algorithm that is able to find the barycentric coordinates and corresponding vertices of such a high-dimensional dataset, by combining manifold learning with a distance geometry based algorithm for ...
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Dimensional reduction in nonlinear filtering
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