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SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 8 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
MICCAI
2009
Springer
16 years 7 months ago
A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting
Abstract. We present a method for automatically segmenting skin lesions by initializing the random walker algorithm with seed points whose properties, such as colour and texture, h...
Paul Wighton, Maryam Sadeghi, Tim K. Lee, M. St...
ICIP
2005
IEEE
16 years 7 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
CORR
2007
Springer
87views Education» more  CORR 2007»
15 years 6 months ago
Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the...
Animashree Anandkumar, Lang Tong, Ananthram Swami
SIAMSC
2010
130views more  SIAMSC 2010»
15 years 27 days ago
Quasi-Monte Carlo Method for Infinitely Divisible Random Vectors via Series Representations
Infinitely divisible random vector without Gaussian component admits representations of shot noise series. Due to possible slow convergence of the series, they have not been inves...
Junichi Imai, Reiichiro Kawai