33 search results - page 5 / 7 » Evaluation and benchmark for biological image segmentation |
98
Voted
ECCV
2010
Springer
15 years 3 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...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...
95
Voted
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
95
Voted
CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
115
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SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...