Non-Negative
Construction of a Non-negative Solution of the Leontief-Ford Model
... of non-negative solution of the Leontief-Ford model, for the case when it is correctly set and for the case when it is incorrectly set; to describe the algorithm of its non-negative solution; ...
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A novel non negative matrix factorization technique for decomposition of Chinese characters with application to secret sharing
... applying non-negative matrix factorization (NMF) technique to decompose a Chinese character into different ...(or non-negative matrix approximation) [18–21] intends to factorize a matrix into ...
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Iterative Weighted Non-smooth Non-negative Matrix Factorization for Face Recognition
... labels. Non-negative matrix factorization (NMF) is applied over data distribution for linear discriminant analysis which achieves good results ...regularize non-negative matrix factorization ...
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Assessment of the specificity of a gamma-interferon test performed with specific antigens to detect bovine tuberculosis, after non-negative results to intradermal tuberculin testing
... which non-negative results to skin test screening (SIT or SICCT) were observed between 2013 and ...SICTT, non-negative were only those with doubtful results, positive SICTT animal at screening ...
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Multimodal voice conversion based on non-negative matrix factorization
... previous non-negative matrix factorization (NMF)-based VC method, source and target exemplars are extracted from parallel training data, in which the same texts are uttered by the source and target ...
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Online non negative discriminative dictionary learning for tracking
... online non-negative discriminative dictionary learning for tracking is proposed, which combines the advantages of the global dictionary learning model and the class-specific dictionary learning ...addition, ...
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Non-negative matrix factorization for blind image separation
... 3 New Extended algorithms for Non-negative Matrix Factorization (NMF). The proposed of the algorithms are to characterized by improving the efficiency and convergence rate, it can also be applied for ...
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Non-parallel dictionary learning for voice conversion using non-negative Tucker decomposition
... information. Non-negative matrix factorization (NMF)-based VC has been widely researched because of the natural-sounding voice it achieves when compared with conventional Gaussian mixture model-based ...
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A Non negative Tensor Factorization Model for Selectional Preference Induction
... called non-negative tensor factor- ization to build a model of three-way co- ...that non-negative tensor factoriza- tion is a promising tool for NLP ...
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The non-negative matrix factorization toolbox for biological data mining
... is non-negative, S absorbs the mag- nitude due to the normalization of A and Y ...the non-negative sparse PCA (NSPCA) proposed in ...enforces non-negativity on the basis vectors, even ...
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Non-Negative Tensor Factorization Applied to Music Genre Classification
... novel non-negative tensor factorization (NTF) algorithm is proposed whose roots are traced back in the non-negative matrix factorization ...the non-negative matrix approximation ...
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Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy
... NMF is similar to LSI algorithm in the way that they both map the dataset into the latent feature space. How- ever, the basis in latent feature space are not necessarily orthogonal from each other in NMF. Meanwhile, each ...
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ONLINE NON-NEGATIVE MATRIX FACTORIZATION FOR CLUSTERING OF NEWS DOCUMENT
... Abstract: When document corpus is very large, we often need to reduce the number of features using technique such as NMF. It is not possible to apply conventional Non-negative Matrix Factorization (NMF) to ...
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Generalized Score Matching for Non-Negative Data
... for non-Gaussian graphical ...or non-parametric estimation techniques (Fellinghauer et ...generalizes non-negative Gaussian random variables, as recently considered by Lin et ...
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Riemannian Orbifolds with Non-Negative Curvature
... RP 4 or CP 2 (in fact by results of Fintushel [Fin78] this is true up to diffeomorphism). In higher dimensions, the assumption of a larger isometry group can be used to prove similar recognition theorems, see [GS94], ...
110
RIEMANNIAN ORBIFOLDS WITH NON-NEGATIVE CURVATURE
... RP 4 or CP 2 (in fact by results of Fintushel [Fin78] this is true up to diffeomorphism). In higher dimensions, the assumption of a larger isometry group can be used to prove similar recognition theorems, see [GS94], ...
108
Scalable non-negative matrix tri-factorization
... of non-negative matrix factor- ization approaches is non-negative matrix tri-factorization, which extends a two-factor model by introducing a third latent factor S, such that X ≈ USV T ...for ...
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Sparse Non negative Matrix Language Modeling
... Sparse Non-negative Matrix (SNM) estimation, a novel probability estima- tion technique for language modeling that can efficiently incorporate arbitrary ...
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Robust Non Blind Colour Image Watermarking Using Non Negative Matrix Factorization Technique in DWT Domain
... Abstract:- A robust colour image watermarking scheme for copyright protection using a Non-negative Matrix Factorization (NMF) in Discrete Wavelet Transform (DWT) domain is suggested. The main goal of the ...
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Non-negative Matrix Factorization with Sparseness Constraints
... Several authors have noted the shortcomings of standard NMF, and suggested extensions and modi- fications of the original model. Li et al. (2001) noted that NMF found only global features from the ORL database (see ...
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