Enhanced Performance of Multimodal Biometric Systems by Confidence Estimation
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Dynamic mesh adaptation on unstructured grids, by localised refinement and derefinement, is a very efficient tool for enhancing solution accuracy and optimise computational time. One of the major drawbacks however resides in the projection of the new nodes ...
In this paper, we propose a new approach for the automatic audio-based out-of-scene detection of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is clustered to out-of-scene and in-scene ...
In this work we evaluate the impact of automated preprocessing of MR brain images on the prediction performance of a SVM AD classifier.Using a reference data set of 82 healthy controls and 82 individuals affected by AD we estimate the expected prediction a ...
In this paper, we propose a new approach for the automatic audio-based temporal alignment with confidence estimation of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is temporally alig ...
This chapter introduces a discriminative method for detecting and spotting keywords in spoken utterances. Given a word represented as a sequence of phonemes and a spoken utterance, the keyword spotter predicts the best time span of the phoneme sequence in ...
Researchers and developers typically use I-V curves (current vs. potential) as a means to demonstrate good data fitting of a model under experimental validation. Despite the popularity of this method, assessment of the results can be intuitive rather than ...
[...] During this project, the fusion feasibility of chips produced for other applications have been tested and some critical fusion parameters have been defined. Then, with the help of FEM simulations, a new chip design has been proposed to overcome the p ...
In this paper, we propose a new approach for the automatic audio-based temporal alignment with confidence estimation of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is temporally alig ...
The paper introduces an adaptive-window-spectrogram-based method to directly estimate the phase derivative from a single fringe pattern. The proposed method relies on estimating the phase derivative using spectrogram peak detection for a set of different w ...
In this paper, we propose a new approach for the automatic audio-based out-of-scene detection of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is clustered to out-of-scene and in-scene ...