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» A Calculus for Data Mapping
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SIGMOD
2007
ACM
157views Database» more  SIGMOD 2007»
15 years 10 months ago
Compiling mappings to bridge applications and databases
Translating data and data access operations between applications and databases is a longstanding data management problem. We present a novel approach to this problem, in which the...
Sergey Melnik, Atul Adya, Philip A. Bernstein
NIPS
2003
14 years 11 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
NN
2006
Springer
113views Neural Networks» more  NN 2006»
14 years 9 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
TVCG
2008
174views more  TVCG 2008»
14 years 9 months ago
Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units
Abstract-- A typical data-driven visualization of electroencephalography (EEG) coherence is a graph layout, with vertices representing electrodes and edges representing significant...
Michael ten Caat, Natasha M. Maurits, Jos B. T. M....
APVIS
2010
14 years 11 months ago
GMap: Visualizing graphs and clusters as maps
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov