16 search results - page 1 / 4 » Tangent Vector Kernels for Invariant Image Classification wi... |
69
Voted
ICPR
2004
IEEE
16 years 22 hour 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...
76
Voted
PRL
2006
14 years 11 months ago
2006
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
121
Voted
NIPS
2001
15 years 9 days 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...
87
Voted
ICPR
2000
IEEE
16 years 1 hour 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...
MICCAI
2004
Springer
15 years 11 months ago
2004
Springer
The classification of normal and malginant colon tissue cells is crucial to the diagnosis of colon cancer in humans. Given the right set of feature vectors, Support Vector Machines...