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» On the Complexity of the Maximum Cut Problem
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NIPS
2008
14 years 11 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
TASLP
2002
84views more  TASLP 2002»
14 years 9 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
WEA
2010
Springer
330views Algorithms» more  WEA 2010»
15 years 4 months ago
Exact Bipartite Crossing Minimization under Tree Constraints
A tanglegram consists of a pair of (not necessarily binary) trees T1, T2 with leaf sets L1, L2. Additional edges, called tangles, may connect nodes in L1 with those in L2. The task...
Frank Baumann, Christoph Buchheim, Frauke Liers
JCP
2006
91views more  JCP 2006»
14 years 9 months ago
The Matching Predicate and a Filtering Scheme Based on Matroids
Finding a maximum cardinality matching in a graph is a problem appearing in numerous settings. The problem asks for a set of edges of maximum cardinality, such that no two edges of...
Dimitris Magos, Ioannis Mourtos, Leonidas S. Pitso...
CGF
2007
156views more  CGF 2007»
14 years 9 months ago
Automatic Light Source Placement for Maximum Visual Information Recovery
The automatic selection of good viewing parameters is a very complex problem. In most cases, the notion of good strongly depends on the concrete application. Moreover, when an int...
Pere-Pau Vázquez