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102
Voted
IPMI
2005
Springer
16 years 4 months ago
The Role of Non-Overlap in Image Registration
Here we model the effect of non-overlapping voxels on image registration, and show that a major defect of overlap-only models--their limited capture range--can be alleviated. Theor...
Jonas August, Takeo Kanade
152
Voted
IPMI
2005
Springer
16 years 4 months ago
Multi-dimensional Mutual Information Based Robust Image Registration Using Maximum Distance-Gradient-Magnitude
In this paper, a novel spatial feature, namely maximum distance-gradient-magnitude (MDGM), is defined for registration tasks. For each voxel in an image, the MDGM feature encodes s...
Rui Gan, Albert C. S. Chung
IPMI
2009
Springer
16 years 4 months ago
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
Abstract. We propose a novel method, fMRI-Informed Regional Estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spat...
Aapo Nummenmaa, Matti Hämäläinen, P...
125
Voted
ICML
2009
IEEE
16 years 4 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ICML
2009
IEEE
16 years 4 months ago
Unsupervised hierarchical modeling of locomotion styles
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Wei Pan, Lorenzo Torresani