| Convolutive blind separation of non-stationary sources L Parra, C Spence Speech and Audio Processing, IEEE Transactions on 8 (3), 320-327, 2000 | 1190 | 2000 |
| Recipes for the linear analysis of EEG LC Parra, CD Spence, AD Gerson, P Sajda Neuroimage 28 (2), 326-341, 2005 | 708 | 2005 |
| Response error correction-a demonstration of improved human-machine performance using real-time EEG monitoring LC Parra, CD Spence, AD Gerson, P Sajda IEEE transactions on neural systems and rehabilitation engineering 11 (2 …, 2003 | 222 | 2003 |
| Unmixing hyperspectral data L Parra, C Spence, P Sajda, A Ziehe, KR Müller Advances in neural information processing systems 12, 1999 | 212 | 1999 |
| Detection, synthesis and compression in mammographic image analysis with a hierarchical image probability model C Spence, L Parra, P Sajda Proceedings IEEE workshop on mathematical methods in biomedical image …, 2001 | 203 | 2001 |
| Convolutive blind source separation based on multiple decorrelation L Parra, C Spence, B De Vries Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE …, 1998 | 109 | 1998 |
| Method and apparatus for training a neural network to detect objects in an image CD Spence, P Sajda US Patent 6,324,532, 2001 | 102 | 2001 |
| Learning contextual relationships in mammograms using a hierarchical pyramid neural network P Sajda, C Spence, J Pearson IEEE transactions on medical imaging 21 (3), 239-250, 2002 | 96 | 2002 |
| Method and apparatus for training a neural network to learn hierarchical representations of objects and to detect and classify objects with uncertain training data CD Spence, JC Pearson, P Sajda US Patent 6,018,728, 2000 | 80 | 2000 |
| Method and system for on-line blind source separation LC Parra, CD Spence US Patent 6,898,612, 2005 | 68* | 2005 |
| Method and apparatus for training a neural network to learn and use fidelity metric as a control mechanism J Lubin, HA Peterson, CD Spence, A De Vries US Patent 6,075,884, 2000 | 66 | 2000 |
| On-line convolutive blind source separation of non-stationary signals L Parra, C Spence The Journal of VLSI Signal Processing 26 (1), 39-46, 2000 | 61 | 2000 |
| Neural network approach to sensory fusion JC Pearson, JJ Gelfand, WE Sullivan, RM Peterson, CD Spence Sensor Fusion 931, 103-108, 1988 | 56 | 1988 |
| Higher-order statistical properties arising from the non-stationarity of natural signals L Parra, C Spence, P Sajda Advances in neural information processing systems 13, 2000 | 49 | 2000 |
| Varying complexity in tree-structured image distribution models C Spence, LC Parra, P Sajda IEEE Transactions on Image Processing 15 (2), 319-330, 2006 | 40 | 2006 |
| Convolutive blind source separation using a multiple decorrelation method L Parra, CD Spence US Patent 6,167,417, 2000 | 38 | 2000 |
| Method and system for improving video metadata through the use of frame-to-frame correspondences BCM Matei, CD Spence, AR Pope, BV Hanna, MW Hansen US Patent 7,313,252, 2007 | 32 | 2007 |
| Role of feature selection in building pattern recognizers for computer-aided diagnosis CD Spence, P Sajda Medical Imaging 1998: Image Processing 3338, 1434-1441, 1998 | 31 | 1998 |
| A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis P Sajda, C Spence, L Parra Medical image analysis 7 (2), 187-204, 2003 | 28 | 2003 |
| Separation of non-stationary natural signals LC Parra, CD Spence Independent Component Analysis: Principles and Practice, 135, 2001 | 28 | 2001 |
Paul SajdaColumbia UniversityPotvrđena adresa e-pošte na columbia.edu