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JMLR
2002
115views more  JMLR 2002»
15 years 3 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
OL
2011
242views Neural Networks» more  OL 2011»
14 years 11 months ago
On connected domination in unit ball graphs
Given a simple undirected graph, the minimum connected dominating set problem is to find a minimum cardinality subset of vertices D inducing a connected subgraph such that each ve...
Sergiy Butenko, Sera Kahruman-Anderoglu, Oleksii U...
ICCV
2007
IEEE
16 years 6 months ago
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis
CIKM
2003
Springer
15 years 9 months ago
High dimensional reverse nearest neighbor queries
Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, docum...
Amit Singh, Hakan Ferhatosmanoglu, Ali Saman Tosun
ADHOCNOW
2009
Springer
15 years 5 months ago
On Minimizing the Maximum Sensor Movement for Barrier Coverage of a Line Segment
We consider n mobile sensors located on a line containing a barrier represented by a finite line segment. Sensors form a wireless sensor network and are able to move within the lin...
Jurek Czyzowicz, Evangelos Kranakis, Danny Krizanc...