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» An Efficient Method for Compressed Sensing
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ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 8 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison
FORMATS
2006
Springer
14 years 2 months ago
Model Checking Timed Automata with Priorities Using DBM Subtraction
In this paper we describe an extension of timed automata with priorities, and efficient algorithms to compute subtraction on DBMs (difference bounded matrices), needed in symbolic ...
Alexandre David, John Håkansson, Kim Guldstr...
JMLR
2008
209views more  JMLR 2008»
13 years 10 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
FOCM
2010
140views more  FOCM 2010»
13 years 9 months ago
Combinatorial Sublinear-Time Fourier Algorithms
We study the problem of estimating the best k term Fourier representation for a given frequency-sparse signal (i.e., vector) A of length N k. More explicitly, we investigate how t...
Mark A. Iwen
ICIP
2010
IEEE
13 years 8 months ago
Anisotropic diffusion using power watersheds
Many computer vision applications such as image filtering, segmentation and stereo-vision can be formulated as optimization problems.Whereas in previous decades continuousdomain, ...
Camille Couprie, Leo J. Grady, Laurent Najman, Hug...