Background. Oculomotor dysfunction (OMD) is one of many visual anomalies that can be successfully treated with optometric vision therapy (OVT). A widely used diagnostic indicator of OMD is a low score on the Developmental Eye Movement test (DEM) Ratio. Methods. Thirty-six subjects with OMD per a DEM Ratio standard score of 92 or lower were retested with DEM one or more years later. None of the ...

A score-based fusion for face verification is presented from FRAV3D Face Database (2D, 2.5D and 3D face images). In the case of 2.5D and 3D data, an automatic correction of pose has been carried out by detecting the nose tip and the eyes. For each kind of image a different feature extraction has been applied (Principal Component Analysis and Support Vector Machine for 2D and 2.5D, and Iterative...

In This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system. Then, the most commonly speech parameterization used in speaker verification, namely, cepstral analysis, is detailed. Gaussian mixture modeling, which is the speaker modeling tech...

In recent speech recognition technology, the score of a hypothesis is often de ned on the basis of HMM likelihood. As is well known, however, direct use of the likelihood as a scoring function causes di cult problems especially when the length of a speech segment varies depending on the hypothesis as in word-spotting, and some kind of normalization is indispensable. In this paper, a new method ...

In this paper we present a Dutch and English dataset that can serve as a gold standard for evaluating text normalization approaches. With the combination of text messages, message board posts and tweets, these datasets represent a variety of user generated content. All data was manually normalized to their standard form using newly-developed guidelines. We perform automatic lexical normalizatio...

In this paper we propose a generic framework for the optimization of image feature encoders for image retrieval. Our approach uses a triplet-based objective that compares, for a given query image, the similarity scores of an image with a matching and a non-matching image, penalizing triplets that give a higher score to the non-matching image. We use stochastic gradient descent to address the re...

Keystroke biometrics authentication system is based on a password and keystroke biometric features captured when a user is typing in the password. The system offers a higher level of security and convenience for computers. The system does not require additional hardware as it can be used with any existing keyboard, making it relatively inexpensive and fairly unobtrusive to the user. There have ...

This paper describes a method of gait recognition by suppressing and using gait fluctuations. Inconsistent phasing between a matching pair of gait image sequences because of temporal fluctuations degrades the performance of gait recognition. We remove the temporal fluctuations by generating a phase-normalized gait image sequence with equal phase intervals. If inter-period gait fluctuations with...

The cohort and world models are commonly used for scoring normalization in speaker verification. As these models represent different regions of the feature space, a better solution could be obtained by integrating them into a single framework. In this paper, we embed the two models in elliptical basis function networks and propose a two-stage decision procedure for improving verification perfor...

If we want to assess whether the paper in question has had a particularly high or low citation impact compared to other papers, the standard practice in bibliometrics is to normalize citations in respect of the subject category and publication year. A number of proposals for an improved procedure in the normalization of citation impact have been put forward in recent years. Against the backgrou...