A new fast prototype selection method based on clustering
In supervised classification, a training set T is given to a classifier for classifying new prototypes. In practice, not all information in T is useful for classifiers, therefore, it is convenient to discard irrelevant prototypes from T. This process is ...
Exploiting visual and text features for direct marketing learning in time and space constrained domains
- Sebastiano Battiato,
- Giovanni Maria Farinella,
- Giovanni Giuffrida,
- Catarina Sismeiro,
- Giuseppe Tribulato
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consideration to a limited sample of potential buyers, rank them with respect ...
3D pore structure characterisation of paper
Pore structure characterisation of paper, using automated image analysis methods, has previously been performed in two-dimensional images. Three dimensional (3D) images have become available and thereby new representations and corresponding measurements ...
A novel SVM-based handwritten Tamil character recognition system
This paper describes a system for recognizing offline handwritten Tamil characters using support vector machine (SVM). Data samples are collected from different writers on A4 sized documents. They are scanned using a flat bed scanner at a resolution of ...
Chilean wine varietal classification using quadratic Fisher transformation
This paper deals with the Chilean red wine varietal classification problem. The problem is solved here by using one of the simplest statistical classification methods based on quadratic discriminant analysis (QDA) together with a new recently introduced ...
Constrained domain maximum likelihood estimation for naive Bayes text classification
The naive Bayes assumption in text classification has the advantage of greatly simplifying maximum likelihood estimation of unknown class-conditional word occurrence probabilities. However, these estimates are usually modified by application of a ...
The architecture and performance of the face and eyes detection system based on the Haar cascade classifiers
The precise face and eyes detection is essential in many human---machine interface systems. Therefore, it is necessary to develop a reliable and efficient object detection method. In this paper we present the architecture of a hierarchical face and eyes ...
Kernel relevance weighted discriminant analysis for face recognition
In this paper, we propose a new kernel discriminant analysis called kernel relevance weighted discriminant analysis (KRWDA) which has several interesting characteristics. First, it can effectively deal with the small sample size problem by using a QR ...
Constructing a pedestrian recognition system with a public open database, without the necessity of re-training: an experimental study
Pedestrian recognition is one of the basic elements of an active pedestrian protection system. Especially, there have been various researches to develop vision-based pedestrian classifiers. Recently, Munder and Gavrila (IEEE Trans Pattern Anal Mach ...
BiosecurID: a multimodal biometric database
- J. Fierrez,
- J. Galbally,
- J. Ortega-Garcia,
- M. R. Freire,
- F. Alonso-Fernandez,
- D. Ramos,
- D. T. Toledano,
- J. Gonzalez-Rodriguez,
- J. A. Siguenza,
- J. Garrido-Salas,
- E. Anguiano,
- G. Gonzalez-De-Rivera,
- R. Ribalda,
- M. Faundez-Zanuy,
- J. A. Ortega,
- V. Cardeñoso-Payo,
- A. Viloria,
- C. E. Vivaracho,
- Q. I. Moro,
- J. J. Igarza,
- J. Sanchez,
- I. Hernaez,
- C. Orrite-Uruñuela,
- F. Martinez-Contreras,
- J. J. Gracia-Roche
A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face ...