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| 29 |       | Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang: Cortically-Coupled Computer Vision. Brain-Computer Interfaces 2010: 133-148 |
| 28 | | Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra: Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds. Journal of Machine Learning Research 11: 3313-3332 (2010) |
| 27 | | Christoforos Christoforou, Robert M. Haralick, Paul Sajda, Lucas C. Parra: Second-Order Bilinear Discriminant Analysis. Journal of Machine Learning Research 11: 665-685 (2010) |
| 24 | | Christoforos Christoforou, Paul Sajda, Lucas C. Parra: Second Order Bilinear Discriminant Analysis for single trial EEG analysis. NIPS 2007 |
| 22 | | Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jing-Yu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda: Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. IJCNN 2006: 1376-1383 |
| 21 | | Clay Spence, Lucas C. Parra, Paul Sajda: Varying complexity in tree-structured image distribution models. IEEE Transactions on Image Processing 15(2): 319-330 (2006) |
| 19 | | Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu, Xiangling Mao, Lucas C. Parra: Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans. Med. Imaging 23(12): 1453-1465 (2004) |
| 18 | | Lucas C. Parra, Paul Sajda: Blind Source Separation via Generalized Eigenvalue Decomposition. Journal of Machine Learning Research 4: 1261-1269 (2003) |
| 17 | | Paul Sajda, Clay Spence, Lucas C. Parra: A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. Medical Image Analysis 7(2): 187-204 (2003) |
| 16 | | Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda: Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing 52-54: 177-183 (2003) |
| 15 | | Paul Sajda, Clay Spence, Lucas C. Parra: Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI 2002: 165-168 |
| 13 | | Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa: Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR 2000: 159-165 |
| 12 |  | Clay Spence, Lucas C. Parra, Paul Sajda: Hierarchical Image Probability (HIP) Models. ICIP 2000 |
| 11 | | Lucas C. Parra, Clay Spence, Paul Sajda: Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS 2000: 786-792 |
| 7 | | Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller: Unmixing Hyperspectral Data. NIPS 1999: 942-948 |
Selection of 15 from 29 records - Lucas C. Parra has 34 coauthors
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