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ICML
2009
IEEE
16 years 13 days 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 13 days 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
ICML
2007
IEEE
16 years 13 days ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
ISBI
2002
IEEE
16 years 10 days ago
Covariance-driven retinal image registration initialized from small sets of landmark correspondences
An automatic retinal image registration algorithm would be an important tool for detecting visible changes in the retina caused by the progress of a disease or by the impact of a ...
Chia-Ling Tsai, Charles V. Stewart, Badrinath Roys...
ISBI
2006
IEEE
16 years 10 days ago
Tracking cortical surface deformations based on vessel structure using a laser range scanner
This paper reports a vessel structure based non-rigid registration method for cortical surface registration and deformation tracking using a laser-range scanner(LRS). The LRS cont...
Aize Cao, Prashanth Dumpuri, Michael I. Miga