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ICPR
2004
IEEE
16 years 5 months ago
Tangent Vector Kernels for Invariant Image Classification with SVMs
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
Alexei Pozdnoukhov, Samy Bengio
CORR
2002
Springer
160views Education» more  CORR 2002»
15 years 4 months ago
Structure from Motion: Theoretical Foundations of a Novel Approach Using Custom Built Invariants
We rephrase the problem of 3D reconstruction from images in terms of intersections of projections of orbits of custom built Lie groups actions. We then use an algorithmic method b...
Pierre-Louis Bazin, Mireille Boutin
NIPS
2007
15 years 6 months ago
Random Sampling of States in Dynamic Programming
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
Christopher G. Atkeson, Benjamin Stephens
ACCV
2006
Springer
15 years 10 months ago
Occlusion Invariant Face Recognition Using Selective LNMF Basis Images
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) technique. The proposed algorith...
Hyun Jun Oh, Kyoung Mu Lee, Sang Uk Lee, Chung-Hyu...
JMIV
2010
131views more  JMIV 2010»
15 years 3 months ago
An SL(2) Invariant Shape Median
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
Benjamin Berkels, Gina Linkmann, Martin Rumpf