In this paper, we propose some novel normalization and fusion techniques for biometric matching score level fusion in person verification. While conventional matching score level fusion methods use global score statistics, we consider in this work both genuine and impostor statistics separately. Performing a joint mean normalization of the separate monomodal scores, multimodal scores with less ...

The evaluation of neutron cross sections as a function of energy is fraught with inconsistent measurements. I describe a Bayesian approach to deal with the inconsistencies by probabilistically modeling the possibility of discrepant data and data sets with long-tailed likelihood functions. Systematic normalization uncertainties in each data set are included by considering the normalization to be...

The detection of organs from full-body PET images is a challenging task due to the high noise and the limited amount of anatomical information of PET imaging. The knowledge of organ locations can support many clinical applications like image registration or tumor detection. This paper is the first to propose an organ localization framework tailored on the challenges of PET. The algorithm involv...

In this paper, we describe the ICSI 2007 language recognition system. The system constitutes a variant of the classic PPRLM (parallel phone recognizer followed by language modeling) approach. We used a combination of frame-by-frame multilayer perceptron (MLP) phone classifiers for English, Arabic, and Mandarin and one open loop hidden Markov Model (HMM) phone recognizer (trained on English data...

In a distant environment, channel distortion may drastically degrade speaker recognition performance. In this paper, we propose a robust speaker recognition method based on position dependent Cepstral Mean Normalization (CMN) to compensate the channel distortion depending on the speaker position. It is shown in [1] that the position dependent CMN is robust for speech recognition in a distant en...

background: erythrocyte sedimentation rate (esr) is one of the predictors of improvement in handling rheumatoid arthritis. this study was designed to define and compare the time of achieving normal esr and also the percentage for the normalization of this marker at several points of time in two different combination therapies.methods: fifty-two rheumatoid arthritis patients randomly received me...

Recently, vocal tract length normalization (VTLN) techniques have been developed for speaker normalization in speech recognition. This paper proposes a new VTLN method, in which the vocal tract length is normalized in the cepstrum space by means of linear mapping whose parameter is derived using maximumlikelihood estimation. The computational costs of this method are much lower than that of suc...

The log energy parameter has long been used as an extension to the basic cepstral feature vector in speech recognition. The use of a normalization technique for the log energy parameter has also been widely accepted. In this paper, a simple energy normalization scheme is introduced that allows direct use of the frame energy parameter in speech recognition and performs well in the presence of no...

This paper proposes to analyze the normalization schemes for prosodic features in terms of the affine invariance property, and shows that better robustness of the prosodic features across different prosodic conditions can be obtained in this way. The analysis is in good consistency with experimental results for Mandarin tone recognition, in which the use of both syllable-level mean and utteranc...