CIARP
2005
Springer
13 years 10 months ago
2005
Springer
The KNN rule has been widely used in many pattern recognition problems, but it is sensible to noisy data within the training set, therefore, several sample edition methods have bee...
AVBPA
2005
Springer
13 years 10 months ago
2005
Springer
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. It is a piece of cake to collect more than hundre...
ICDAR
2005
IEEE
13 years 10 months ago
2005
IEEE
Printing and scanning of text documents introduces degradations to the characters which can be modeled. Interestingly, certain combinations of the parameters that govern the degra...
ISBI
2006
IEEE
13 years 11 months ago
2006
IEEE
We have described previously a method of automatically constructing statistical models of shape. The method treats model-building as an optimisation problem by re-parameterising ea...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
We propose a novel approach for determining if a pair of images match each other under the effect of a highdistortion transformation or non-structural relation. The co-occurrence ...
SIBGRAPI
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents a 3D face photography system based on a small set of training facial range images. The training set is composed by 2D texture and 3D range images (i.e. geometr...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
—The k nearest neighbor (k-NN) classifier has been extensively used as a nonparametric technique in Pattern Recognition. However, in some applications where the training set is l...