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IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 3 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
76
Voted
BMCV
2000
Springer
15 years 2 months ago
Towards a Computational Model for Object Recognition in IT Cortex
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
David G. Lowe
ICIP
2003
IEEE
15 years 11 months ago
Generalized pattern matching using orbit decomposition
Image Processing and Computer Vision applications often require finding a particular pattern in a set of images. The task involves finding appearances of a given pattern in an ima...
Yacov Hel-Or, Hagit Hel-Or
84
Voted
TMI
1998
140views more  TMI 1998»
14 years 9 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
88
Voted
MICCAI
2009
Springer
15 years 10 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...