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» A Calculus for Data Mapping
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SIGMOD
2007
ACM
157views Database» more  SIGMOD 2007»
16 years 4 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
15 years 5 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»
15 years 4 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»
15 years 4 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
15 years 5 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