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» Meta-Evaluation of Image Segmentation Using Machine Learning
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TMI
1998
122views more  TMI 1998»
13 years 7 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka
ECCV
2006
Springer
14 years 9 months ago
Automatic Image Segmentation by Positioning a Seed
We present a method that automatically partitions a single image into non-overlapping regions coherent in texture and colour. An assumption that each textured or coloured region ca...
Branislav Micusík, Allan Hanbury
CVPR
2003
IEEE
14 years 9 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
JMIV
2010
115views more  JMIV 2010»
13 years 6 months ago
Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...
Minh Ha Quang, Sung Ha Kang, Triet M. Le
VIS
2007
IEEE
162views Visualization» more  VIS 2007»
14 years 9 months ago
Segmentation of Three-dimensional Retinal Image Data
We have combined methods from volume visualization and data analysis to support better diagnosis and treatment of human retinal diseases. Many diseases can be identified by abnorma...
Alfred R. Fuller, Rober t J. Zawadzki, Stacey Ch...