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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
ACMSE
2005
ACM
15 years 3 months ago
Using nonlinear dimensionality reduction in 3D figure animation
This paper explores a method for re-sequencing an existing set of animation, specifically motion capture data, to generate new motion. Re-using animation is helpful in designing ...
A. Elizabeth Seward, Bobby Bodenheimer
80
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ICIP
2006
IEEE
15 years 11 months ago
Wavelet Principal Component Analysis and its Application to Hyperspectral Images
We investigate reducing the dimensionality of image sets by using principal component analysis on wavelet coefficients to maximize edge energy in the reduced dimension images. Lar...
Maya R. Gupta, Nathaniel P. Jacobson
IJCV
2006
124views more  IJCV 2006»
14 years 9 months ago
Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
Understanding facial expressions in image sequences is an easy task for humans. Some of us are capable of lipreading by interpreting the motion of the mouth. Automatic lipreading b...
Michal Aharon, Ron Kimmel
JMLR
2010
115views more  JMLR 2010»
14 years 4 months ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...