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» Co-Scheduling of Computation and Data on Computer Clusters
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ICCV
2005
IEEE
16 years 5 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
CSDA
2006
98views more  CSDA 2006»
15 years 3 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
133
Voted
HPDC
2006
IEEE
15 years 9 months ago
Improving I/O Performance of Clustered Storage Systems by Adaptive Request Distribution
We develop an adaptive load distribution protocol for logical volume I/O workload in clustered storage systems. It exploits data redundancy among decentralized storage servers to ...
Changxun Wu, Randal C. Burns
118
Voted
ICS
1999
Tsinghua U.
15 years 8 months ago
Clustered speculative multithreaded processors
In this paper we present a processor microarchitecture that can simultaneously execute multiple threads and has a clustered design for scalability purposes. A main feature of the ...
Pedro Marcuello, Antonio González
132
Voted
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu