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MICCAI
2009
Springer
16 years 8 months ago
Modeling Adaptation Effects in fMRI Analysis
The standard general linear model (GLM) for rapid event-related fMRI design protocols typically ignores reduction in hemodynamic responses in successive stimuli in a train due to i...
Wanmei Ou, Tommi Raij, Fa-Hsuan Lin, Polina Gollan...
MICCAI
2004
Springer
16 years 8 months ago
A Statistical Shape Model of Individual Fiber Tracts Extracted from Diffusion Tensor MRI
Diffusion Tensor MRI has become the preferred imaging modality to explore white matter structure and brain connectivity in vivo. Conventional region of interest analysis and voxel-...
Isabelle Corouge, Sylvain Gouttard, Guido Gerig
ICML
2007
IEEE
16 years 8 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
ICSE
2005
IEEE-ACM
16 years 7 months ago
An adaptive object model with dynamic role binding
To achieve the goalof realizingobject adaptationto environments, a new role-based model Epsilon and a language EpsilonJ is proposed. In Epsilon, an environment is defined as a fie...
Tetsuo Tamai, Naoyasu Ubayashi, Ryoichi Ichiyama
ICDCS
2009
IEEE
16 years 4 months ago
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems
With the growing complexity in computer systems, it has been a real challenge to detect and diagnose problems in today’s large-scale distributed systems. Usually, the correlatio...
Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han