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ICCV
2011
IEEE
12 years 8 months ago
Means in spaces of tree-like shapes
The mean is often the most important statistic of a dataset as it provides a single point that summarizes the entire set. While the mean is readily defined and computed in Euclid...
Aasa Feragen, Søren Hauberg, Mads Nielsen, Franç...
ICIP
2005
IEEE
14 years 10 months ago
Image fusion using a new framework for complex wavelet transforms
Image fusion is the process of extracting meaningful visual information from two or more images and combinining them to form one fused image. Image fusion is important within many...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
AC
2000
Springer
14 years 1 months ago
Graph-Theoretical Methods in Computer Vision
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Ali Shokoufandeh, Sven J. Dickinson
ISBI
2008
IEEE
14 years 3 months ago
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, w...
Shivang Naik, Scott Doyle, Shannon Agner, Anant Ma...
CVPR
2007
IEEE
14 years 10 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart