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CVPR
2000
IEEE
16 years 6 days ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
CVPR
2010
IEEE
14 years 10 months ago
Fast directional chamfer matching
We study the object localization problem in images given a single hand-drawn example or a gallery of shapes as the object model. Although many shape matching algorithms have been ...
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Ram...
COMPGEOM
2005
ACM
15 years 4 days ago
Fast construction of nets in low dimensional metrics, and their applications
We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain...
Sariel Har-Peled, Manor Mendel
DCOSS
2010
Springer
15 years 1 months ago
Fast Decentralized Averaging via Multi-scale Gossip
Abstract. We are interested in the problem of computing the average consensus in a distributed fashion on random geometric graphs. We describe a new algorithm called Multi-scale Go...
Konstantinos I. Tsianos, Michael G. Rabbat
CLA
2004
14 years 11 months ago
Fast Factorization of Concept Lattices by Similarity: Solution and an Open Problem
An important problem in applications of formal concept analysis is a possibly large number of clusters extracted from data. Factorization is one of the methods being used to cope w...
Radim Belohlávek, Jiri Dvorak, Jan Outrata