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Recently projected gradient (PG) approaches have found many applications in solving the minimization problems underlying nonnegative matrix factorization (NMF). NMF is a linear representation of data that could lead to sparse result of natural images. To improve the parts-based representation of data some sparseness constraints have been proposed. In this paper the efficiency and execution time of...
Statistical pattern recognition is one of the most studied and applied approaches in the area of pattern recognition. Mixture modelling of densities is an efficient statistical pattern recognition method for continuous data. We propose a classifier based on the beta mixture models for strictly bounded and asymmetrically distributed data. Due to the property of the mixture modelling, the statistical...
Lipreading is an efficient method among those proposed to improve the performance of speech recognition systems, especially in acoustic noisy environments. This paper proposes a simple audio-visual speech recognition (AVSR) system, which could improve the robustness and accuracy of audio speech recognition by integrating the synchronous audio and visual information. We propose a hidden Markov model...
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