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FLAIRS
2007
14 years 12 days ago
A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
Jorge de la Calleja, Olac Fuentes
AROBOTS
2005
100views more  AROBOTS 2005»
13 years 10 months ago
A Sampling-Based Motion Planning Approach to Maintain Visibility of Unpredictable Targets
This paper deals with the surveillance problem of computing the motions of one or more robot observers in order to maintain visibility of one or several moving targets. The target...
Rafael Murrieta-Cid, Benjamín Tovar, Seth H...
IPSN
2004
Springer
14 years 3 months ago
How to distribute sensors in a random field?
In this paper, we study the optimal way of distributing sensors in a random field to minimize the estimation distortion. We show that this problem is equivalent to certain proble...
Xin Zhang, Stephen B. Wicker
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 10 months ago
Restricted Isometries for Partial Random Circulant Matrices
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
Holger Rauhut, Justin K. Romberg, Joel A. Tropp
CORR
2006
Springer
151views Education» more  CORR 2006»
13 years 10 months ago
Graph Laplacians and their convergence on random neighborhood graphs
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...