733 search results - page 10 / 147 » Learning Riemannian Metrics |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
We address the problem of similarity metric selection in pairwise affinity clustering. Traditional techniques employ standard algebraic context-independent sample-distance measur...
JMLR
2012
11 years 10 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
ETVC
2008
13 years 9 months ago
2008
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
COMPGEOM
2011
ACM
12 years 11 months ago
2011
ACM
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
ISBI
2011
IEEE
12 years 11 months ago
2011
IEEE
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...