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CVPR
2010
IEEE
15 years 4 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
ISAAC
2010
Springer
257views Algorithms» more  ISAAC 2010»
15 years 4 months ago
Approximating Minimum Bending Energy Path in a Simple Corridor
Abstract. In this paper, we consider the problem of computing a minimum bending energy path (or MinBEP) in a simple corridor. Given a simple 2D corridor C bounded by straight line ...
Jinhui Xu, Lei Xu, Yulai Xie
WINE
2010
Springer
178views Economy» more  WINE 2010»
15 years 4 months ago
Improved Hardness of Approximation for Stackelberg Shortest-Path Pricing
We consider the Stackelberg shortest-path pricing problem, which is defined as follows. Given a graph G with fixed-cost and pricable edges and two distinct vertices s and t, we may...
Patrick Briest, Parinya Chalermsook, Sanjeev Khann...
CDC
2010
IEEE
15 years 1 months ago
Synthesis using approximately bisimilar abstractions: time-optimal control problems
s using Approximately Bisimilar Abstractions: Time-Optimal Control Problems Antoine Girard In this paper, we present a hierarchical approach to time-optimal control using approxima...
Antoine Girard
SIAMSC
2010
155views more  SIAMSC 2010»
15 years 1 months ago
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors
In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defin...
Berkant Savas, Lek-Heng Lim