A matroid approach to finding edge connectivity and packing arborescences
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
Band Ordering in Lossless Compression of Multispectral Images
IEEE Transactions on Computers
Approximate nearest neighbors: towards removing the curse of dimensionality
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Delta algorithms: an empirical analysis
ACM Transactions on Software Engineering and Methodology (TOSEM)
Cluster-Based Delta Compression of a Collection of Files
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
Engineering a Differencing and Compression Data Format
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
On the Resemblance and Containment of Documents
SEQUENCES '97 Proceedings of the Compression and Complexity of Sequences 1997
Towards Compressing Web Graphs
DCC '01 Proceedings of the Data Compression Conference
Approximating optimum branchings in linear time
Information Processing Letters
Scalable techniques for document identifier assignment in inverted indexes
Proceedings of the 19th international conference on World wide web
Hi-index | 0.89 |
We consider a special subgraph of a weighted directed graph: one comprising only the k heaviest edges incoming to each vertex. We show that the maximum weight branching in this subgraph closely approximates the maximum weight branching in the original graph. Specifically, it is within a factor of k/(k + 1). Our interest in finding branchings in this subgraph is motivated by a data compression application in which calculating edge weights is expensive but estimating which are the heaviest k incoming edges is easy. An additional benefit is that since algorithms for finding branchings run in time linear in the number of edges our results imply faster algorithms although we sacrifice optimality by a small factor. We also extend our results to the case of edge-disjoint branchings of maximum weight and to maximum weight spanning forests.