User authentication via adapted statistical models of face images (2006)
Cardinaux, F., Sanderson, C., Bengio, S.
It has been previously demonstrated that systems based on local features and relatively complex statistical models, namely, one-dimensional (1-D) hidden Markov models (HMMs) and...
Face verification using adapted generative models (2004)
Cardinaux, F., Sanderson, C., Bengio, S.
It has been shown previously that systems based on local features and relatively complex generative models, namely 1D hidden Markov models (HMMs) and pseudo-2D HMMs, are suitable for face recognition...
Spectral Subband Centroids as Complementary features for Speaker Authentication (2004)
Thian, N.P. H., Sanderson, C., Bengio, S.
Most conventional features used in speaker authentication are based on estimation of spectral envelopes in one way or another, e.g., Mel-scale Filterbank Cepstrum Coefficients (MFCCs), Linear-scale...
Statistical Transformations of Frontal Models for Non-Frontal Face Verification (2004)
In the framework of a face Verification System using local feature and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when only a single (frontal)...
Face Authentication Competition on the BANCA Database (2004)
Messer, K., Kittler, J., Sadeghi, M., Hamouz, M., Kostyn, A., Marcel, S., ...
This paper details the results of a face verification competition [2] held in conjunction with the First International Conference on Biometric Authentication. The contest was held on the publically...
Speech & face based biometric authentication at IDIAP (2003)
Sanderson, C., Bengio, S., Bourlard, H., Mariethoz, J, Collobert, R., BenZeghiba, M.F., ...
We present an overview of research at IDIAP on speech & face based biometric authentication. This paper covers user-customised passwords, adaptation techniques, confidence measures (for use in fusion...
This work presents an Offline Cursive Word Recognition System dealing with single writer samples. The system is based on a continuous density Hiddden Markov Model trained using either the raw data,...
F. Fessant, S. Bengio, D. Collobert, France Telecom Cnet
Accurate prediction of ionospheric parameters is crucial for telecommunication companies. These parameters strongly rely on solar activity. In this paper, we analyze the use of neural networks for...