Fast and Scalable Multiway Analysis of Neural Data
暂无分享,去创建一个
Samee U. Khan | Dan Chen | S. Khan | Lizhe Wang | Ke Zeng | Dan Chen | Lizhe Wang | Xiaoli Li | Juan Wang | Chang Cai | Ke Zeng | Xiaoli Li | Juan Wang | Chang Cai
[1] Jean Gotman,et al. Removing Eye‐movement Artifacts from the EEG during the Intracarotid Amobarbital Procedure , 2005, Epilepsia.
[2] H. Law. Research methods for multimode data analysis , 1984 .
[3] Jack Dongarra,et al. An Improved MAGMA GEMM for Fermi GPUs , 2010 .
[4] Fumikazu Miwakeichi,et al. Decomposing EEG data into space–time–frequency components using Parallel Factor Analysis , 2004, NeuroImage.
[5] R. Bro. PARAFAC. Tutorial and applications , 1997 .
[6] Patrick Dupont,et al. Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone , 2007, NeuroImage.
[7] R. Bro,et al. A new efficient method for determining the number of components in PARAFAC models , 2003 .
[8] Didier G. Leibovici,et al. Multi-way modelling of high-dimensionality electroencephalographic data , 2001 .
[9] John D. Owens,et al. GPU Computing , 2008, Proceedings of the IEEE.
[10] G. Rabinovici,et al. Distinct clinical and metabolic deficits in PCA and AD are not related to amyloid distribution , 2011, Neurology.
[11] Konrad P Kording,et al. How advances in neural recording affect data analysis , 2011, Nature Neuroscience.
[12] G. Fox,et al. High Performance Multidimensional Scaling for Large High-Dimensional Data Visualization , 2012 .
[13] B. Kowalski,et al. Tensorial resolution: A direct trilinear decomposition , 1990 .
[14] Numaan Ashraf. CUDA accelerated face recognition , 2010 .
[15] R. Harshman,et al. PARAFAC: parallel factor analysis , 1994 .
[16] Rasmus Bro,et al. Multiway analysis of epilepsy tensors , 2007, ISMB/ECCB.
[17] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[18] Andrzej Cichocki,et al. PARAFAC algorithms for large-scale problems , 2011, Neurocomputing.
[19] P. J. Narayanan,et al. Singular value decomposition on GPU using CUDA , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.
[20] Emmanuel Agullo,et al. QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators , 2011, 2011 IEEE International Parallel & Distributed Processing Symposium.
[21] Rasmus Bro,et al. Improving the speed of multi-way algorithms:: Part I. Tucker3 , 1998 .
[22] Andrzej Cichocki,et al. Multiway array decomposition analysis of EEGs in Alzheimer's disease , 2012, Journal of Neuroscience Methods.
[23] Lars Kai Hansen,et al. Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG , 2006, NeuroImage.
[24] Dan Brandt,et al. Investigation of GPGPU for use in processing of EEG in real-time , 2010 .
[25] Chengbiao Lu,et al. Characteristics of Evoked Potential Multiple EEG Recordings in Patients with Chronic Pain by Means of Parallel Factor Analysis , 2012, Comput. Math. Methods Medicine.
[26] J. G. F. Francis,et al. The QR Transformation - Part 2 , 1962, Comput. J..
[27] Gerrit Kateman,et al. Generalized rank annihilation method. I: Derivation of eigenvalue problems , 1994 .
[28] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[29] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[30] J. Chang,et al. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .
[31] Hong Bao,et al. GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia , 2010, IEEE Transactions on Information Technology in Biomedicine.
[32] Xiaoli Li,et al. Massively parallel non-stationary EEG data processing on GPGPU platforms with Morlet continuous wavelet transform , 2012, Journal of Internet Services and Applications.
[33] D. Burdick. An introduction to tensor products with applications to multiway data analysis , 1995 .