Sciweavers

AI
2002
Springer
13 years 11 months ago
A re-weighting strategy for improving margins
We present a simple general scheme for improving margins that is inspired on well known margin theory principles. The scheme is based on a sample re-weighting strategy. The very b...
Fabio Aiolli, Alessandro Sperduti
RIAO
2000
14 years 23 days ago
Classification of Radiographs in the 'Image Retrieval in Medical Applications' - System
In this paper we present a new approach to classifying radiographs, which is the first important task of the IRMA system. Given an image, we compute posterior probabilities for ea...
Jörg Dahmen, Thomas Theiner, Daniel Keysers, ...
ICPR
2002
IEEE
14 years 4 months ago
Tangent Distance Kernels for Support Vector Machines
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
Bernard Haasdonk, Daniel Keysers
GW
2005
Springer
136views Biometrics» more  GW 2005»
14 years 5 months ago
Gesture Recognition Using Image Comparison Methods
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...
ICPR
2008
IEEE
14 years 5 months ago
Figure-ground discrimination and distortion-tolerant recognition of color characters in scene images
This paper proposes a new technique of figureground discrimination of color characters in scene images following two steps. The first step is temporary binarization by selecting o...
Toru Wakahara
ICIAP
2007
ACM
14 years 11 months ago
Transformation invariant SOM clustering in Document Image Analysis
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
Simone Marinai, Emanuele Marino, Giovanni Soda
CVPR
2003
IEEE
15 years 1 months ago
Joint Manifold Distance: a new approach to appearance based clustering
We wish to match sets of images to sets of images where both sets are undergoing various distortions such as viewpoint and lighting changes. To this end we have developed a Joint ...
Andrew W. Fitzgibbon, Andrew Zisserman