98 search results - page 7 / 20 » On the Manifold Structure of the Space of Brain Images |
CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
ISBI
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
106
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ECCV
2004
Springer
15 years 5 months ago
2004
Springer
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
128
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PAMI
2008
14 years 11 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...