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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
HPDC
2010
IEEE
13 years 11 months ago
Detouring and replication for fast and reliable internet-scale stream processing
iFlow is a replication-based system that can achieve both fast and reliable processing of high volume data streams on the Internet scale. iFlow uses a low degree of replication in...
Christopher McConnell, Fan Ping, Jeong-Hyon Hwang
SMA
2010
ACM
231views Solid Modeling» more  SMA 2010»
13 years 10 months ago
Fast and robust retrieval of Minkowski sums of rotating convex polyhedra in 3-space
We present a novel method for fast retrieval of exact Minkowski sums of pairs of convex polytopes in R3 , where one of the polytopes keeps rotating. The algorithm is based on pre-...
Naama Mayer, Efi Fogel, Dan Halperin
CORR
2010
Springer
182views Education» more  CORR 2010»
13 years 10 months ago
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
Bargaining networks model the behavior of a set of players who need to reach pairwise agreements for making profits. Nash bargaining solutions in this context correspond to soluti...
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs,...
MIDDLEWARE
2010
Springer
13 years 8 months ago
FaReCast: Fast, Reliable Application Layer Multicast for Flash Dissemination
Abstract. To disseminate messages from a single source to a large number of targeted receivers, a natural approach is the tree-based application layer multicast (ALM). However, in ...
Kyungbaek Kim, Sharad Mehrotra, Nalini Venkatasubr...