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» Accelerated EM-based clustering of large data sets
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NIPS
2007
13 years 9 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht
JMLR
2010
211views more  JMLR 2010»
13 years 2 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
ICPP
2009
IEEE
14 years 2 months ago
Accelerating Checkpoint Operation by Node-Level Write Aggregation on Multicore Systems
—Clusters and applications continue to grow in size while their mean time between failure (MTBF) is getting smaller. Checkpoint/Restart is becoming increasingly important for lar...
Xiangyong Ouyang, Karthik Gopalakrishnan, Dhabales...
CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 7 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
CGA
2010
13 years 5 months ago
Newdle: Interactive Visual Exploration of Large Online News Collections
In this paper, we present a novel visual analytics system named Newdle with a focus on exploring large online news collections when the semantics of the individual news articles ha...
Jing Yang, Dongning Luo, Yujie Liu