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» Structural Modelling with Sparse Kernels
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ISBI
2011
IEEE
14 years 1 months ago
Sparse topological data recovery in medical images
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Ch...
IPMI
2005
Springer
15 years 10 months ago
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...
CONEXT
2008
ACM
14 years 11 months ago
Nonlinear modeling of the internet delay structure
Modeling the Internet delay structure is an important issue in designing large-scale distributed systems. However, linear models fail to characterize Triangle Inequality Violation...
Xiao Wang, Yang Chen, Beixing Deng, Xing Li
JCP
2006
102views more  JCP 2006»
14 years 9 months ago
Efficient Formulations for 1-SVM and their Application to Recommendation Tasks
The present paper proposes new approaches for recommendation tasks based on one-class support vector machines (1-SVMs) with graph kernels generated from a Laplacian matrix. We intr...
Yasutoshi Yajima, Tien-Fang Kuo
RTCSA
1995
IEEE
15 years 1 months ago
A timeliness-guaranteed kernel model-DREAM kernel-and implementation techniques
: An essential building-block for construction of future real-time computer systems (RTCS’s) is a timeliness-guaranteed operating system. The first co-author recently formulated ...
K. H. (Kane) Kim, Luiz F. Bacellar, Yuseok Kim, Ch...