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CIKM
2010
Springer
15 years 5 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
CLUSTER
2009
IEEE
16 years 1 months ago
Power-aware scheduling of virtual machines in DVFS-enabled clusters
—With the advent of Cloud computing, large-scale virtualized compute and data centers are becoming common in the computing industry. These distributed systems leverage commodity ...
Gregor von Laszewski, Lizhe Wang, Andrew J. Younge...
AFRIGRAPH
2003
ACM
15 years 10 months ago
Efficient clustering and visibility calculation for global illumination
Using a radiosity method to estimate light inter-reflections within large scenes still remains a difficult task. The two main reasons are: (i) the computations entailed by the rad...
Daniel Meneveaux, Kadi Bouatouch, Gilles Subrenat,...
BMCBI
2007
178views more  BMCBI 2007»
15 years 6 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
MICRO
2010
IEEE
210views Hardware» more  MICRO 2010»
15 years 4 months ago
Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently executing threads. The memory scheduling algorithm should resolve memory contention...
Yoongu Kim, Michael Papamichael, Onur Mutlu, Mor H...