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ICPR
2004
IEEE
14 years 11 months ago
Adjustable Invariant Features by Partial Haar-Integration
A very common type of a-priori knowledge in pattern analysis problems is invariance of the input data with respect to transformation groups, e.g. geometric transformations of imag...
Alaa Halawani, Bernard Haasdonk, Hans Burkhardt
SCIA
2005
Springer
137views Image Analysis» more  SCIA 2005»
14 years 3 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
SMA
2009
ACM
141views Solid Modeling» more  SMA 2009»
14 years 2 months ago
Robust principal curvatures using feature adapted integral invariants
Principal curvatures and principal directions are fundamental local geometric properties. They are well deļ¬ned on smooth surfaces. However, due to the nature as higher order diļ...
Yu-Kun Lai, Shi-Min Hu, Tong Fang
NA
2008
78views more  NA 2008»
13 years 9 months ago
A walk through energy, discrepancy, numerical integration and group invariant measures on measurable subsets of euclidean space
(A) The celebrated Gaussian quadrature formula on finite intervals tells us that the Gauss nodes are the zeros of the unique solution of an extremal problem. We announce recent re...
S. B. Damelin