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CVPR
2010
IEEE
14 years 3 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
GBRPR
2009
Springer
13 years 5 months ago
Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation
In this paper, we present a novel graph construction method and demonstrate its usage in a broad range of applications starting from a relatively simple single-surface segmentation...
Yin Yin, Qi Song, Milan Sonka
ICIP
2008
IEEE
14 years 9 months ago
Motion compensation based on implicit block segmentation
Block-based motion and disparity compensation are popular techniques to exploit correlation between video frames. Block sizes used for compensation can be chosen to achieve a good...
Jae Hoon Kim, Antonio Ortega, Peng Yin, Purvin Pan...
ICIP
2004
IEEE
14 years 9 months ago
Object recognition based on binary partition trees
This paper presents an object recognition method that exploits the representation of the images obtained by means of a Binary Partition Tree (BPT). The shape matching technique in...
Oreste Salerno, Montse Pardàs, Verón...
BMCBI
2008
169views more  BMCBI 2008»
13 years 7 months ago
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
Alexander R. Statnikov, Lily Wang, Constantin F. A...