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SCIA
2005
Springer
137views Image Analysis» more  SCIA 2005»
14 years 2 months ago
Invariance in Kernel Methods by Haar-Integration Kernels
Abstract. We address the problem of incorporating transformation invariance in kernels for pattern analysis with kernel methods. We introduce a new class of kernels by so called Ha...
Bernard Haasdonk, A. Vossen, Hans Burkhardt
AVSS
2003
IEEE
14 years 2 months ago
Invariant Feature Extraction and Biased Statistical Inference for Video Surveillance
Using cameras for detecting hazardous or suspicious events has spurred new research for security concerns. To make such detection reliable, researchers must overcome difficulties...
Yi-Leh Wu, Long Jiao, Gang Wu, Edward Y. Chang, Yu...
JMIV
2000
90views more  JMIV 2000»
13 years 8 months ago
Invariants to Convolution in Arbitrary Dimensions
Processing of multidimensional image data which were acquired by a linear imaging system of unknown point-spread function (PSF) is an important problem whose solution usually requi...
Jan Flusser, Jirí Boldys, Barbara Zitov&aac...
SIAMCOMP
2002
95views more  SIAMCOMP 2002»
13 years 8 months ago
A Linear Algorithm for Finding the Invariant Edges of an Edge-Weighted Graph
Given an edge-weighted graph where all weights are nonnegative reals, an edge reweighting is an assignment of nonnegative reals to edges such that, for each vertex, the sums of giv...
Francesco M. Malvestuto, Mauro Mezzini
CSDA
2011
13 years 3 months ago
An affine invariant multiple test procedure for assessing multivariate normality
: A multiple test procedure for assessing multivariate normality (MVN) that combines a finite set of affine invariant test statistics for MVN is proposed. This combination is base...
Carlos Tenreiro