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» A clustering method that uses lossy aggregation of data
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CLUSTER
2004
IEEE
15 years 4 months ago
FTC-Charm++: an in-memory checkpoint-based fault tolerant runtime for Charm++ and MPI
As high performance clusters continue to grow in size, the mean time between failure shrinks. Thus, the issues of fault tolerance and reliability are becoming one of the challengi...
Gengbin Zheng, Lixia Shi, Laxmikant V. Kalé
CVPR
2009
IEEE
16 years 7 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
CVPR
2012
IEEE
13 years 3 months ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...
ISMIS
2009
Springer
15 years 7 months ago
Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining
Workflow mining aims to find graph-based process models based on activities, emails, and various event logs recorded in computer systems. Current workflow mining techniques mainly ...
Liqiang Geng, Scott Buffett, Bruce Hamilton, Xin W...
103
Voted
TVCG
2012
185views Hardware» more  TVCG 2012»
13 years 3 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis