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» Performing hypothesis tests on the shape of functional data
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NIPS
2007
13 years 9 months ago
A Kernel Statistical Test of Independence
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le ...
APVIS
2010
13 years 9 months ago
Shape-based transfer functions for volume visualization
We present a novel classification technique for volume visualization that takes the shape of volumetric features into account. The presented technique enables the user to distingu...
Jörg-Stefan Praßni, Timo Ropinski, J&ou...
ILP
2001
Springer
14 years 2 days ago
Learning Functions from Imperfect Positive Data
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
Filip Zelezný
BVAI
2005
Springer
14 years 1 months ago
Incomplete Contour Representations and Shape Descriptors: ICR Test Studies
Inspired by psychophysical studies of the human cognitive abilities we propose a novel aspect and a method for performance evaluation of contour based shape recognition algorithms ...
Anarta Ghosh, Nicolai Petkov
HIS
2004
13 years 9 months ago
GAP Test: A Cognitive Evaluation Procedure for Shape Descriptors
With inspiration from psychophysical researches of the human visual system we propose a novel method for performance evaluation of contour based shape recognition algorithms. We u...
Anarta Ghosh, Nicolai Petkov