Year |
Citation |
Score |
2006 |
Kim SP, Sanchez JC, Rao YN, Erdogmus D, Carmena JM, Lebedev MA, Nicolelis MA, Principe JC. A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces. Journal of Neural Engineering. 3: 145-61. PMID 16705271 DOI: 10.1088/1741-2560/3/2/009 |
0.669 |
|
2006 |
Hegde A, Principe JC, Erdogmus D, Ozertem U, Rao YN, Peddaneni H. Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis The Journal of Vlsi Signal Processing Systems For Signal, Image, and Video Technology. 45: 85-95. DOI: 10.1007/s11265-006-9773-6 |
0.664 |
|
2006 |
Erdogmus D, Jenssen R, Rao YN, Principe JC. Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing The Journal of Vlsi Signal Processing Systems For Signal, Image, and Video Technology. 45: 67-83. DOI: 10.1007/s11265-006-9772-7 |
0.555 |
|
2005 |
Kim S, Rao YN, Erdogmus D, Sanchez JC, Nicolelis MAL, Principe JC. Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization Eurasip Journal On Advances in Signal Processing. 2005. DOI: 10.1155/Asp.2005.3113 |
0.695 |
|
2005 |
Rao Y, Erdogmus D, Principe J. Error whitening criterion for adaptive filtering: theory and algorithms Ieee Transactions On Signal Processing. 53: 1057-1069. DOI: 10.1109/Tsp.2004.842179 |
0.633 |
|
2005 |
Rao YN, Kim SP, Sanchez JC, Erdogmus D, Principe JC, Carmena JM, Lebedev MA, Nicolelis MA. Learning mappings in brain machine interfaces with echo state networks Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. V233-V236. DOI: 10.1109/ICASSP.2005.1416283 |
0.633 |
|
2005 |
Rao YN, Erdogmus D, Rao GY, Principe JC. Fast error whitening algorithms for system identification and control with noisy data Neurocomputing. 69: 158-181. DOI: 10.1016/J.Neucom.2005.02.018 |
0.648 |
|
2004 |
Erdogmus D, Hild KE, Rao YN, Príncipe JC. Minimax mutual information approach for independent component analysis. Neural Computation. 16: 1235-52. PMID 15130248 DOI: 10.1162/089976604773717595 |
0.651 |
|
2004 |
Erdogmus D, Rao YN, Peddaneni H, Hegde A, Principe JC. Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation Eurasip Journal On Advances in Signal Processing. 2004. DOI: 10.1155/S1110865704404120 |
0.698 |
|
2004 |
Rao YN, Principe JC, Wong TF. Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications The Journal of Vlsi Signal Processing-Systems For Signal, Image, and Video Technology. 37: 333-344. DOI: 10.1023/B:VLSI.0000027495.79266.ad |
0.455 |
|
2003 |
Rao YN, Erdogmus D, Rao GY, Principe JC. Stochastic error whitening algorithm for linear filter estimation with noisy data. Neural Networks : the Official Journal of the International Neural Network Society. 16: 873-80. PMID 12850046 DOI: 10.1016/S0893-6080(03)00109-6 |
0.651 |
|
2003 |
Kim SP, Sanchez JC, Erdogmus D, Rao YN, Wessberg J, Principe JC, Nicolelis M. Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. Neural Networks : the Official Journal of the International Neural Network Society. 16: 865-71. PMID 12850045 DOI: 10.1016/S0893-6080(03)00108-4 |
0.698 |
|
2003 |
Erdogmus D, Rao YN, Hild II KE, Principe JC. Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection Eurasip Journal On Advances in Signal Processing. 2002. DOI: 10.1155/S1110865702210033 |
0.654 |
|
2002 |
Rao YN, Principe JC. Efficient total least squares method for system modeling using minor component analysis Neural Networks For Signal Processing - Proceedings of the Ieee Workshop. 2002: 259-268. DOI: 10.1109/NNSP.2002.1030037 |
0.505 |
|
2002 |
Rao YN, Principe JC. Time series segmentation using a novel adaptive eigendecomposition algorithm Journal of Vlsi Signal Processing Systems For Signal, Image, and Video Technology. 32: 7-17. DOI: 10.1023/A:1016355116053 |
0.502 |
|
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