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Computational Intelligence and Neuroscience, Volume 2008
Volume 2008, 2008
- Kevin Heinrich, Michael W. Berry, Ramin Homayouni:
Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature. - Mikkel N. Schmidt, Hans Laurberg:
Nonnegative Matrix Factorization with Gaussian Process Priors. - Simone G. O. Fiori:
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm. - Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Smaragdis:
Probabilistic Latent Variable Models as Nonnegative Factorizations. - Mehrdad Fatourechi, Rabab K. Ward, Gary E. Birch:
Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session. - Hans Laurberg, Mads Græsbøll Christensen, Mark D. Plumbley, Lars Kai Hansen, Søren Holdt Jensen:
Theorems on Positive Data: On the Uniqueness of NMF. - Daniel Soukup, Ivan Bajla:
Robust Object Recognition under Partial Occlusions Using NMF. - Zhisong Wang, Alexander Maier, Nikos K. Logothetis, Hualou Liang:
Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition. - Derry Fitzgerald, Matt Cranitch, Eugene Coyle:
Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation. - Junying Zhang, Le Wei, Xuerong Feng, Zhen Ma, Yue Wang:
Pattern Expression Nonnegative Matrix Factorization: Algorithm and Applications to Blind Source Separation. - Tao Geng, John Q. Gan, Matthew Dyson, Chun Sing Louis Tsui, Francisco Sepulveda:
A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. - Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek:
Advances in Nonnegative Matrix and Tensor Factorization. - Rafal Zdunek, Andrzej Cichocki:
Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems. - Vangelis Sakkalis, Tracey Cassar, Michalis E. Zervakis, Kenneth P. Camilleri, Simon G. Fabri, Cristin Bigan, Eleni Karakonstantaki, Sifis Micheloyannis:
Parametric and Nonparametric EEG Analysis for the Evaluation of EEG Activity in Young Children with Controlled Epilepsy.
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