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143
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APPROX
2008
Springer
137views Algorithms» more  APPROX 2008»
15 years 6 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
138
Voted
JMLR
2010
136views more  JMLR 2010»
14 years 11 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...
142
Voted
SODA
2001
ACM
147views Algorithms» more  SODA 2001»
15 years 6 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 10 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 11 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