1148 search results - page 179 / 230 » Dimensionality Reduction with Image Data |
PR
2007
14 years 9 months ago
2007
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
126
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MICCAI
2000
Springer
15 years 1 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
100
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
IJON
2008
14 years 9 months ago
2008
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
MICCAI
2004
Springer
15 years 10 months ago
2004
Springer
We present a new method for detecting the interface, or edge, structure present in diffusion MRI. Interface detection is an important first step for applications including segmenta...