5 search results - page 1 / 1 » Classification with Invariant Distance Substitution Kernels |
GFKL
2007
Springer
13 years 10 months ago
2007
Springer
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
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...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
NIPS
2001
13 years 8 months ago
2001
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
IJON
2006
13 years 6 months ago
2006
In this paper, we first design a more generalized network model, Improved CBP, based on the same structure as Circular BackPropagation (CBP) proposed by Ridella et al. The novelty ...