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» Maximum normalized spacing for efficient visual clustering
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MICCAI
2004
Springer
14 years 5 months ago
Clustering Fiber Traces Using Normalized Cuts
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha...
ICIP
2000
IEEE
14 years 6 months ago
Distributional Clustering for Efficient Content-Based Retrieval of Images and Video
In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
Giridharan Iyengar, Andrew Lippman
BMCBI
2008
114views more  BMCBI 2008»
13 years 5 months ago
Visualizing and clustering high throughput sub-cellular localization imaging
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Nicholas A. Hamilton, Rohan D. Teasdale
CVPR
2008
IEEE
14 years 7 months ago
Nonlinear image representation using divisive normalization
In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of photographic images, as well as...
Siwei Lyu, Eero P. Simoncelli