Sciweavers

501 search results - page 39 / 101
» Event-Feeded Dimension Solution
Sort
View
SIAMSC
2011
219views more  SIAMSC 2011»
14 years 6 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
JMLR
2010
147views more  JMLR 2010»
14 years 6 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
ISVC
2009
Springer
15 years 4 months ago
Data Vases:  2D and 3D Plots for Visualizing Multiple Time Series
Abstract. One challenge associated with the visualization of time-dependent data is to develop graphical representations that are effective for exploring multiple time-varying qua...
Sidharth Thakur, Theresa-Marie Rhyne
82
Voted
ICCV
2011
IEEE
13 years 12 months ago
Generalized Ordering Constraints for Multilabel Optimization
We propose a novel framework for imposing label ordering constraints in multilabel optimization. In particular, label jumps can be penalized differently depending on the jump dire...
Evgeny Strekalovskiy, Daniel Cremers
ICCV
2011
IEEE
13 years 12 months ago
Tight Convex Relaxations for Vector-Valued Labeling Problems
The multi-label problem is of fundamental importance to computer vision, yet finding global minima of the associated energies is very hard and usually impossible in practice. Rec...
Evgeny Strekalovskiy, Bastian Goldluecke, Daniel C...