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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
15 years 4 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
CLUSTER
2004
IEEE
15 years 10 months ago
Rolls: modifying a standard system installer to support user-customizable cluster frontend appliances
The Rocks toolkit [9], [7], [10] uses a graph-based framework to describe the configuration of all node types (termed appliances) that make up a complete cluster. With hundreds of...
Greg Bruno, Mason J. Katz, Federico D. Sacerdoti, ...
ICIP
2006
IEEE
16 years 8 months ago
A Lifting-Based Wavelet Transform Supporting Non-Dyadic Spatial Scalability
In subband image and video compression, the issue of dyadic spatial scalability with a downsizing ratio of 2:1 has already been widely investigated. In some application scenarios,...
Ruiqin Xiong, Jizheng Xu, Feng Wu
ICML
2004
IEEE
16 years 7 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer
MSR
2009
ACM
15 years 11 months ago
MapReduce as a general framework to support research in Mining Software Repositories (MSR)
Researchers continue to demonstrate the benefits of Mining Software Repositories (MSR) for supporting software development and research activities. However, as the mining process...
Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E....