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The Partial Least Squares (PLS) algorithm has been widely applied in face recognition in recent years. However, all the improved algorithms of PLS did not utilize non-negativity and sparsity synchronously to improve the recognition accuracy and robustness. In order to solve these problems, this paper proposes a novel algorithm named Two-Dimension Non-negative Sparse Partial Least Squares (2DNSPLS),...
For benefiting from incorporating the class information, partial least squares (PLS) and its two dimension version (2DPLS) have been widely employed in face recognition when extracting principal components. However, currently popular statistic methods, such as principal component analysis (PCA) and linear discriminant analysis (LDA), only learn holistic, not parts-based, representations which ignore...
In this paper we present a method for identification of temporal patterns that are predictive of events in a dynamic data system. The proposed new MRPS-HMM method applies a hybrid model using Reconstructed Phase Space (RPS) and stochastic state estimation via Hidden Markov Model (HMM) to search predictive patterns. This method constructs a multivariate phase space by embedding each data sequence with...
In this paper we present a method for detecting multivariate temporal patterns that are characteristic and predictive of significant events in a multivariate dynamic data system. A new hybrid RPS-GMM method is applied to identify patterns. This method constructs phase space embedding by using individual embedding of each variable sequences. We employ discriminative approach by applying Gaussian Mixture...
As the most important objective parameters, reverberation time and clarity play significant roles in acoustic field characteristics evaluation of the hall. We can get it by measuring an actual room. In this paper, a new method is proposed based on adaptive fuzzy neural network to extract the reverberation time and clarity from a scene image. Finally the validity of the network is proved through the...
This paper proposes an algorithm of BP neural network, which reproduces a color image under D65 light conditions by using a pair of images (one with no D65 light source, and the other with D65 light source). The result of reproduction image which used a fluorescent lamp as an unknown light source is presented. This algorithm successfully removes the effect of the unknown light source color and achieves...
This paper presents a method using speech recognition with linguistic constraints to detect the mispronunciations made by Cantonese learners of English. The predicted pronunciation errors have been derived from cross-language phonological comparisons, which are used to generate the erroneous pronunciation variations in a lexicon. The acoustic models are trained with native speakerspsila speech and...
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