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» Visual Exploration of High Dimensional Scalar Functions
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ICIP
2007
IEEE
15 years 1 months ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
BMCBI
2008
121views more  BMCBI 2008»
14 years 9 months ago
GeneTrailExpress: a web-based pipeline for the statistical evaluation of microarray experiments
Background: High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical proce...
Andreas Keller, Christina Backes, Maher Al-Awadhi,...
ICML
2000
IEEE
15 years 10 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
PAMI
2010
210views more  PAMI 2010»
14 years 7 months ago
Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination
Abstract— One goal of statistical shape analysis is the discrimination between two populations of objects. In this paper, we present results of discriminant analysis on multi-obj...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....
VLDB
2007
ACM
114views Database» more  VLDB 2007»
15 years 3 months ago
IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing
Virtual reality techniques particularly in the field of CFD (computational fluid dynamics) are of growing importance due to their ability to offer comfortable means to interact...
Christoph Brochhaus, Thomas Seidl