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MIAR
2006
IEEE
16 years 10 days ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
DAGM
2004
Springer
15 years 11 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
ICDM
2003
IEEE
71views Data Mining» more  ICDM 2003»
15 years 11 months ago
Tree-structured Partitioning Based on Splitting Histograms of Distances
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
Longin Jan Latecki, Rajagopal Venugopal, Marc Sobe...
KBSE
2003
IEEE
15 years 11 months ago
On the automatic evolution of an OS kernel using temporal logic and AOP
Automating software evolution requires both identifying precisely the affected program points and selecting the appropriate modification at each point. This task is particularly ...
Rickard A. Åberg, Julia L. Lawall, Mario S&u...
DAC
1989
ACM
15 years 10 months ago
A New Approach to the Rectilinear Steiner Tree Problem
: We discuss a new approach to constructing the rectilinear Steiner tree (RST) of a given set of points in the plane, starting from a minimum spanning tree (MST). The main idea in ...
Jan-Ming Ho, Gopalakrishnan Vijayan, C. K. Wong