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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 7 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
MICCAI
2009
Springer
16 years 5 months ago
Diffusion Tensor Field Registration in the Presence of Uncertainty
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
M. Okan Irfanoglu, Cheng Guan Koay, Sinisa Pajev...
MICCAI
2002
Springer
16 years 5 months ago
Stochastic Finite Element Framework for Cardiac Kinematics Function and Material Property Analysis
Abstract. A stochastic finite element method (SFEM) based framework is proposed for the simultaneous estimation of cardiac kinematics functions and material model parameters. While...
Pengcheng Shi, Huafeng Liu
AINA
2005
IEEE
15 years 10 months ago
Nodes Localization through Data Fusion in Sensor Network
The Location of nodes in sensor network is an important problem with application in resource allocation, location sensitive browsing, and emergency communications. A key problem i...
Ren C. Luo, Ogst Chen, Liang Chao Tu
ICRA
2010
IEEE
259views Robotics» more  ICRA 2010»
15 years 2 months ago
RANSAC matching: Simultaneous registration and segmentation
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...
Shao-Wen Yang, Chieh-Chih Wang, Chun-Hua Chang