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» Analysis and Application of Adaptive Sampling
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ECCV
2002
Springer
14 years 11 months ago
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Anat Levin, Amnon Shashua
TMI
2010
175views more  TMI 2010»
13 years 4 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
SC
2004
ACM
14 years 3 months ago
Language and Compiler Support for Adaptive Applications
There exist many application classes for which the users have significant flexibility in the quality of output they desire. At the same time, there are other constraints, such a...
Wei Du, Gagan Agrawal
EMMCVPR
2007
Springer
14 years 4 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
JMM2
2007
157views more  JMM2 2007»
13 years 9 months ago
Sub-band Implementation of Adaptive Nonlinear Filter for Adaptive Nonlinear Echo Cancellation
—The adaptive Volterra filter has been successfully applied in nonlinear acoustic echo cancellation (AEC) systems and nonlinear line echo cancellation systems, but its applicatio...
Dayong Zhou, Yunhua Wang, Victor E. DeBrunner, Lin...