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CIARP
2005
Springer
14 years 5 months ago
Reward-Punishment Editing for Mixed Data
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...
Raúl Rodríguez-Colín, Jes&uac...
AVBPA
2005
Springer
294views Biometrics» more  AVBPA 2005»
14 years 5 months ago
Face Detection Based on the Manifold
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...
Ruiping Wang, Jie Chen, Shengye Yan, Wen Gao
ICDAR
2005
IEEE
14 years 5 months ago
Text Degradations and OCR Training
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...
Elisa H. Barney Smith, Tim L. Andersen
ISBI
2006
IEEE
14 years 6 months ago
Consistent spherical parameterisation for statistical shape modelling
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...
Rhodri H. Davies, Carole J. Twining, Christopher J...
IJCNN
2006
IEEE
14 years 6 months ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—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 ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
ICCS
2007
Springer
14 years 6 months ago
Active Learning with Support Vector Machines for Tornado Prediction
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...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
CVPR
2007
IEEE
14 years 6 months ago
High Distortion and Non-Structural Image Matching via Feature Co-occurrence
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 ...
Xi Chen, Tat-Jen Cham
SIBGRAPI
2008
IEEE
14 years 6 months ago
PCA-Based 3D Face Photography
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...
Jesus P. Mena-Chalco, Ives Macedo, Luiz Velho, Rob...
ICPR
2008
IEEE
14 years 6 months ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
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...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
ICPR
2008
IEEE
14 years 6 months ago
On the selection of base prototypes for LAESA and TLAESA classifiers
—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...
Selene Hernández-Rodríguez, Jos&eacu...