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» Co-Scheduling of Computation and Data on Computer Clusters
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ICCV
2005
IEEE
16 years 3 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 1 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
HPDC
2006
IEEE
15 years 7 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
ICS
1999
Tsinghua U.
15 years 5 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
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 7 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