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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 8 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
WONS
2005
IEEE
14 years 1 months ago
Fast Distributed Algorithm for Convergecast in Ad Hoc Geometric Radio Networks
—Wireless ad hoc radio networks have gained a lot of attention in recent years. We consider geometric networks, where nodes are located in a euclidean plane. We assume that each ...
Alexander Kesselman, Dariusz R. Kowalski
RECSYS
2009
ACM
14 years 2 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
EUROPAR
2009
Springer
13 years 5 months ago
A Least-Resistance Path in Reasoning about Unstructured Overlay Networks
Unstructured overlay networks for peer-to-peer applications combined with stochastic algorithms for clustering and resource location are attractive due to low-maintenance costs and...
Giorgos Georgiadis, Marina Papatriantafilou
EUROCRYPT
2001
Springer
14 years 6 days ago
Finding Secure Curves with the Satoh-FGH Algorithm and an Early-Abort Strategy
The use of elliptic curves in cryptography relies on the ability to count the number of points on a given curve. Before 1999, the SEA algorithm was the only efficient method known ...
Mireille Fouquet, Pierrick Gaudry, Robert Harley