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HPDC
2010
IEEE
15 years 7 months ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben
ICMCS
2010
IEEE
210views Multimedia» more  ICMCS 2010»
15 years 7 months ago
A framework for extracting musical similarities from peer-to-peer networks
The usage of peer-to-peer (p2p) networks for music information retrieval (MIR) tasks is gaining momentum. P2P file sharing networks can be used for collecting both search queries ...
Noam Koenigstein, Yuval Shavitt, Tomer Tankel, Ela...
ICMCS
2010
IEEE
229views Multimedia» more  ICMCS 2010»
15 years 7 months ago
Decoder-side motion vector derivation for hybrid video inter coding
The ongoing increase of computing performance facilitates a higher algorithmical complexity in video coding systems. The decoder may be able to estimate or derive prediction param...
Steffen Kamp, Mathias Wien
ICML
2010
IEEE
15 years 7 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
ICML
2010
IEEE
15 years 7 months ago
Online Learning for Group Lasso
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Ly...