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Separating a Real-Life Nonlinear Image Mixture
independent component analysis source separation nonlinear image separation document processing
2015/8/3
When acquiring an image of a paper document, the image printed on the back page sometimes shows through. The mixture of the front- and back-page images thus obtained is markedly nonlinear, and thus co...
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
Non-negative factor analysis model adaptation Gaussian mixture model weight dialect recognition language recognition
2014/11/27
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition.
Bayesian Mixture Models for Frequent Itemset Discovery
Bayesian Mixture Models Frequent Itemset Discovery
2012/11/26
In binary-transaction data-mining, traditional frequent itemset mining often produces results which are not straightforward to interpret. To overcome this problem, probability models are often used to...
Supervised Fuzzy Mixture of Local Feature Models
Adaptive Fuzzy Mixture Supervised Clustering Local Feature Model PCA ICA Phase Transition Fuzzy Parametric Clustering Real-Coded Genetic Algorithm
2013/1/28
This paper addresses an important issue in model combination, that is, model locality. Since usually a global linear model is unable to reflect nonlinearity and to characterize local features, especia...
A Vision-Based Sign Language Recognition System Using Tied-Mixture Density HMM
Sign Language Recognition System Tied-Mixture Density HMM
2010/12/14
A Vision-Based Sign Language Recognition System Using Tied-Mixture Density HMM.
Vision-Based Sign Language Recognition Using Sign-Wise Tied Mixture HMM,
Vision-Based Sign Language Recognition Sign-Wise Tied Mixture HMM
2010/12/14
In this paper, a new sign-wise tied mixture HMM (SWTMHMM)is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities of the same sign model are tied ...