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ICPR
2004
IEEE
16 years 4 months ago
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
Miha Peternel, Ales Leonardis
MICCAI
2007
Springer
16 years 4 months ago
A New Benchmark for Shape Correspondence Evaluation
This paper introduces a new benchmark study of evaluating landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-correspondence eval...
Brent C. Munsell, Pahal Dalal, Song Wang
MICCAI
2004
Springer
16 years 4 months ago
Deformable Registration of Tumor-Diseased Brain Images
This paper presents an approach for deformable registration of a normal brain atlas to visible anatomic structures in a tumor-diseased brain image. We restrict our attention to cor...
Tianming Liu, Dinggang Shen, Christos Davatzikos
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
ICML
2008
IEEE
16 years 4 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr