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APPROX
2008
Springer
137views Algorithms» more  APPROX 2008»
15 years 4 months ago
Approximating Directed Weighted-Degree Constrained Networks
Given a graph H = (V, F) with edge weights {w(e) : e F}, the weighted degree of a node v in H is {w(vu) : vu F}. We give bicriteria approximation algorithms for problems that see...
Zeev Nutov
JMLR
2010
136views more  JMLR 2010»
14 years 9 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
SODA
2001
ACM
147views Algorithms» more  SODA 2001»
15 years 4 months ago
Sublinear time approximate clustering
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
Nina Mishra, Daniel Oblinger, Leonard Pitt
APPROX
2004
Springer
165views Algorithms» more  APPROX 2004»
15 years 8 months ago
Approximating Additive Distortion of Embeddings into Line Metrics
We consider the problem of fitting metric data on n points to a path (line) metric. Our objective is to minimize the total additive distortion of this mapping. The total additive ...
Kedar Dhamdhere
ICPR
2008
IEEE
15 years 9 months ago
Constrained piecewise linear approximation of digital curves
We have considered a problem of continuous piecewise linear approximation of the digital curves with a minimum number of the line segments. Fast suboptimal algorithm for constrain...
Alexander Kolesnikov