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Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection.
Besson P, Kunt M.
J Neuroeng Rehabil. 2008 Mar 27;5:11.PMID: 18371191 [PubMed - indexed for MEDLINE]Related articlesFree article
Nonlinear dynamic neural network for text-independent speaker identification using information theoretic learning technology.
Lu B, Yamada WM, Berger TW.
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Performance enhancement for audio-visual speaker identification using dynamic facial muscle model.
Asadpour V, Towhidkhah F, Homayounpour MM.
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Speech sound classification and detection of articulation disorders with support vector machines and wavelets.
Georgoulas G, Georgopoulos VC, Stylios CD.
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Zhou X, Bhanu B.
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Formal implementation of a performance evaluation model for the face recognition system.
Shin YN, Kim J, Lee YJ, Shin W, Choi JY.
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Design of multimodal dissimilarity spaces for retrieval of video documents.
Bruno E, Moenne-Loccoz N, Marchand-Maillet S.
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Combination of hyperbolic functions for multimodal biometrics data fusion.
Toh KA, Yau WY.
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Vocal folds disorder detection using pattern recognition methods.
Wang J, Jo C.
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Audio-visual active speaker tracking in cluttered indoors environments.
Talantzis F, Pnevmatikakis A, Constantinides AG.
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Maximum confidence hidden markov modeling for face recognition.
Chien JT, Liao CP.
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Head yaw estimation from asymmetry of facial appearance.
Ma B, Shan S, Chen X, Gao W.
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A comparative study of local matching approach for face recognition.
Zou J, Ji Q, Nagy G.
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Robust human detection within a highly dynamic aquatic environment in real time.
Eng HL, Wang J, Wah AH, Yau WY.
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Spatiotemporal human facial expression recognition using fisher independent component analysis and Hidden Markov Model.
Lee JJ, Uddin MZ, Kim TS.
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Comparing human and automatic face recognition performance.
Adler A, Schuckers ME.
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Discriminative analysis of lip motion features for speaker identification and speech-reading.
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MPCA: Multilinear Principal Component Analysis of Tensor Objects.
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Automatic temporal segment detection and affect recognition from face and body display.
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Real-time intelligent pattern recognition algorithm for surface EMG signals.
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