36 search results - page 1 / 8 » Likelihood Functions and Confidence Bounds for Total-Least-S... |
CVPR
2000
IEEE
13 years 8 months ago
2000
IEEE
This paper addresses the derivation of likelihood functions and confidence bounds for problems involving overdetermined linear systems with noise in all measurements, often referr...
SIAMMAX
2010
12 years 11 months ago
2010
Abstract. Linear inverse problems with uncertain measurement matrices appear in many different applications. One of the standard techniques for solving such problems is the total l...
CORR
2010
Springer
13 years 1 months ago
2010
Springer
We derive closed formulas for the condition number of a linear function of the total least squares solution. Given an over determined linear systems Ax = b, we show that this condi...
ICVGIP
2004
13 years 6 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
JMLR
2012
11 years 7 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...