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» Reconciling Landmarks and Level Sets
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ICML
2000
IEEE
14 years 7 months ago
Meta-Learning by Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
RAS
2008
139views more  RAS 2008»
13 years 5 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
PRL
2006
95views more  PRL 2006»
13 years 6 months ago
Inhibition of false landmarks
Corners and junctions are landmarks characterized by the lack of differentiability in the unit tangent to the image level curve. Detectors based on differential operators are not,...
Debora Gil, Petia Radeva
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
14 years 6 months ago
Mining from Large Image Sets
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
ICRA
2005
IEEE
115views Robotics» more  ICRA 2005»
13 years 11 months ago
Language-based Feedback Control Using Monte Carlo Sensing
Abstract— Landmark-based graphs are a useful and parsimonious tool for representing large scale environments. Relating landmarks by means of feedback-control algorithms encoded i...
Sean B. Andersson, Dimitrios Hristu-Varsakelis