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KDD
2007
ACM
244views Data Mining» more  KDD 2007»
16 years 6 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
15 years 4 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...
EMMCVPR
2001
Springer
15 years 10 months ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...
TON
2008
122views more  TON 2008»
15 years 6 months ago
Distributed throughput maximization in wireless mesh networks via pre-partitioning
Abstract-- This paper considers the interaction between channel assignment and distributed scheduling in multi-channel multiradio Wireless Mesh Networks (WMNs). Recently, a number ...
Andrew Brzezinski, Gil Zussman, Eytan Modiano
COMBINATORICS
2002
87views more  COMBINATORICS 2002»
15 years 6 months ago
Kasteleyn Cokernels
We consider Kasteleyn and Kasteleyn-Percus matrices, which arise in enumerating matchings of planar graphs, up to matrix operations on their rows and columns. If such a matrix is ...
Greg Kuperberg