Sciweavers

55 search results - page 2 / 11
» Robust estimation of dimension reduction space
Sort
View
CSDA
2008
158views more  CSDA 2008»
13 years 6 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
ICRA
2000
IEEE
150views Robotics» more  ICRA 2000»
13 years 10 months ago
Path Planning in Image Space for Robust Visual Servoing
Vision feedback control loop techniques are efficient for a great class of applications but they come up against difficulties when the initial and desired positions of the camer...
Youcef Mezouar, François Chaumette
PVLDB
2008
122views more  PVLDB 2008»
13 years 5 months ago
Identifying robust plans through plan diagram reduction
Estimates of predicate selectivities by database query optimizers often differ significantly from those actually encountered during query execution, leading to poor plan choices a...
Harish D., Pooja N. Darera, Jayant R. Haritsa
TSP
2010
13 years 28 days ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...
ICASSP
2010
IEEE
13 years 6 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa