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» Analysis and Testing for Error Tolerant Motion Estimation
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ICCV
2005
IEEE
14 years 1 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
ICCV
2001
IEEE
14 years 9 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
ICDE
1997
IEEE
101views Database» more  ICDE 1997»
14 years 9 months ago
Selectivity Estimation in the Presence of Alphanumeric Correlations
Query optimization is an integral part of relational database management systems. One important task in query optimization is selectivity estimation, that is, given a query P, we ...
Min Wang, Jeffrey Scott Vitter, Balakrishna R. Iye...
AUTOMATICA
2006
92views more  AUTOMATICA 2006»
13 years 8 months ago
A speed-sensorless indirect field-oriented control for induction motors based on high gain speed estimation
The authors design a new speed sensorless output feedback control for the full-order model of induction motors with unknown constant load torque, which guarantees local asymptotic...
Marcello Montanari, Sergei Peresada, Andrea Tilli
BMCBI
2007
120views more  BMCBI 2007»
13 years 8 months ago
Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
Background: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff be...
Xin Lu, David L. Perkins