675 search results - page 74 / 135 » Agglomerative clustering of feature data for image segmentat... |
ECCV
2010
Springer
15 years 11 days ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
SIBGRAPI
2006
IEEE
15 years 4 months ago
2006
IEEE
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
109
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PAMI
2007
14 years 9 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
110
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MICCAI
2008
Springer
15 years 11 months ago
2008
Springer
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...