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SSIAI
2000
IEEE
13 years 12 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 7 months ago
Solving Sparse Integer Linear Systems
We propose a new algorithm to solve sparse linear systems of equations over the integers. This algorithm is based on a p-adic lifting technique combined with the use of block matr...
Wayne Eberly, Mark Giesbrecht, Pascal Giorgi, Arne...
CORR
2011
Springer
148views Education» more  CORR 2011»
13 years 2 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
GISCIENCE
2004
Springer
112views GIS» more  GISCIENCE 2004»
14 years 27 days ago
Project Lachesis: Parsing and Modeling Location Histories
Abstract. A datatype with increasing importance in GIS is what we call the location history–a record of an entity’s location in geographical space over an interval of time. Thi...
Ramaswamy Hariharan, Kentaro Toyama
AAAI
1994
13 years 8 months ago
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
Michael Lindenbaum, Shai Ben-David