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» A new method for camera motion parameter estimation
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DAGM
1999
Springer
14 years 24 min ago
A Total Least Squares Framework for Low-Level Analysis of Dynamic Scenes and Processes
Abstract. We present a new method to simultaneously estimate optical flow fields and parameters of dynamic processes, violating the standard brightness change constraint equation...
Horst W. Haussecker, Christoph S. Garbe, Hagen Spi...
BMCBI
2010
108views more  BMCBI 2010»
13 years 5 months ago
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy
Background: Recent studies have revealed the importance of considering the entire distribution of possible secondary structures in RNA secondary structure predictions; therefore, ...
Michiaki Hamada, Kengo Sato, Kiyoshi Asai
KDD
2004
ACM
182views Data Mining» more  KDD 2004»
14 years 8 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
HUMO
2007
Springer
14 years 1 months ago
Modeling Human Locomotion with Topologically Constrained Latent Variable Models
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
Raquel Urtasun, David J. Fleet, Neil D. Lawrence
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi