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» On Randomized Lanczos Algorithms
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ICML
2009
IEEE
16 years 7 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 7 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
ICML
2003
IEEE
16 years 7 months ago
Text Bundling: Statistics Based Data-Reduction
As text corpora become larger, tradeoffs between speed and accuracy become critical: slow but accurate methods may not complete in a practical amount of time. In order to make the...
Lawrence Shih, Jason D. Rennie, Yu-Han Chang, Davi...
ISBI
2002
IEEE
16 years 7 months ago
Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence
We propose a new global registration method for estimating the cardiac displacement field in 2D sequences of ultrasound images of the heart. The basic idea is to select a referenc...
Andrés Santos, Jan Kybic, Manuel Desco, Mar...
ISBI
2004
IEEE
16 years 7 months ago
Vascular Segmentation in Three-Dimensional Rotational Angiography Based on Maximum Intensity Projections
Three-dimensional rotational angiography (3D-RA) is a relatively new and promising technique for imaging blood vessels. In this paper, we propose a novel 3D-RA vascular segmentati...
Rui Gan, Albert C. S. Chung, Wilbur C. K. Wong, Si...