17 search results - page 1 / 4 » An Invariant Large Margin Nearest Neighbour Classifier |
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
ACCV
2010
Springer
12 years 11 months ago
2010
Springer
This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neigh...
ENGL
2007
13 years 4 months ago
2007
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
HIS
2004
13 years 6 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
SSPR
1998
Springer
13 years 8 months ago
1998
Springer
This paper presents a probabilistic similarity measure for object recognition from large libraries of line-patterns. We commence from a structural pattern representation which use...