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» Distributed Data Clustering Can Be Efficient and Exact
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SIGIR
2003
ACM
14 years 3 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
CIARP
2006
Springer
14 years 6 days ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
ICDM
2009
IEEE
102views Data Mining» more  ICDM 2009»
13 years 8 months ago
Global Slope Change Synopses for Measurement Maps
Quality control using scalar quality measures is standard practice in manufacturing. However, there are also quality measures that are determined at a large number of positions on ...
Frank Rosenthal, Ulrike Fischer, Peter Benjamin Vo...
APVIS
2010
13 years 5 months ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
CLUSTER
2011
IEEE
12 years 10 months ago
Performance Characterization and Optimization of Atomic Operations on AMD GPUs
—Atomic operations are important building blocks in supporting general-purpose computing on graphics processing units (GPUs). For instance, they can be used to coordinate executi...
Marwa Elteir, Heshan Lin, Wu-chun Feng