157 search results - page 2 / 32 » Randomized Algorithms for Minimum Distance Localization |
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost matchin...
ECCV
2008
Springer
14 years 3 months ago
2008
Springer
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
JDA
2007
13 years 4 months ago
2007
In this paper, we review a recently developed class of algorithms that solve global problems in unit distance wireless networks by means of local algorithms. A local algorithm is ...
SAC
2003
ACM
13 years 10 months ago
2003
ACM
Given a connected, weighted, undirected graph G and a bound D, the bounded-diameter minimum spanning tree problem seeks a spanning tree on G of lowest weight in which no path betw...
CSDA
2007
13 years 5 months ago
2007
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...