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» Approximation Algorithms for Clustering Problems
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STOC
2010
ACM
211views Algorithms» more  STOC 2010»
16 years 5 months ago
Maintaining a Large Matching or a Small Vertex Cover
We consider the problem of maintaining a large matching or a small vertex cover in a dynamically changing graph. Each update to the graph is either an edge deletion or an edge ins...
Krzysztof Onak and Ronitt Rubinfeld
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
15 years 5 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
ICML
2010
IEEE
15 years 8 months ago
Accelerated dual decomposition for MAP inference
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
Vladimir Jojic, Stephen Gould, Daphne Koller
ICNP
2006
IEEE
16 years 1 months ago
Benefit-based Data Caching in Ad Hoc Networks
—Data caching can significantly improve the efficiency of information access in a wireless ad hoc network by reducing the access latency and bandwidth usage. However, designing e...
Bin Tang, Himanshu Gupta, Samir R. Das
CSE
2008
IEEE
15 years 7 months ago
Sampling Binary Contingency Tables
We study the problem of counting and randomly sampling binary contingency tables. For given row and column sums, we are interested in approximately counting (or sampling) 0/1 n
Ivona Bezáková