NASA and USGS are collaborating to produce a global map of Earth using Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus sensor data from the period of 2004 th...
Robert A. Morris, John Gasch, Lina Khatib, Steven ...
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
It is a hard problem to understand the search process of particle swarm optimization over high-dimensional domain. The visualization depicts the total search process and then it w...
Invariance is a necessary feature of a visual system able to recognize real objects in all their possible appearance. It is also the processing step most problematic to understand ...
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...