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FTCGV
2011
122views more  FTCGV 2011»
13 years 1 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 8 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
SIAMJO
2010
127views more  SIAMJO 2010»
13 years 4 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
MICCAI
2008
Springer
14 years 4 months ago
Soft Tissue Tracking for Minimally Invasive Surgery: Learning Local Deformation Online
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
Peter Mountney and Guang-Zhong Yang
IEEECIT
2010
IEEE
13 years 8 months ago
Centralized Project-Based Teaching Approach in Database Application Development Training
—The centralized teaching approach is different from the general lecture course, as it requires students focus all efforts within a period of time to finish a project task in ord...
Gaoyan Zhang, Haifeng Ke, Minghui Wu, Jun Liu