2007 |
20 | EE | Christoforos Christoforou,
Paul Sajda,
Lucas C. Parra:
Second Order Bilinear Discriminant Analysis for single trial EEG analysis.
NIPS 2007 |
2006 |
19 | EE | Akaysha C. Tang,
Matthew T. Sutherland,
Christopher J. McKinney,
Jing-Yu Liu,
Yan Wang,
Lucas C. Parra,
A. D. Gerson,
Paul Sajda:
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing.
IJCNN 2006: 1376-1383 |
18 | EE | Qi Zhao,
Radka Stoyanova,
Shuyan Du,
Paul Sajda,
Truman R. Brown:
HiRes - a tool for comprehensive assessment and interpretation of metabolomic data.
Bioinformatics 22(20): 2562-2564 (2006) |
17 | EE | 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) |
2005 |
16 | EE | Jim Wielaard,
Paul Sajda:
Neural mechanisms of contrast dependent receptive field size in V1.
NIPS 2005 |
2004 |
15 | | An Luo,
Paul Sajda,
Adam Gerson:
Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG.
ISBI 2004: 1012-1015 |
14 | | Shuyan Du,
Paul Sajda,
Xiangling Mao,
Dikoma C. Shungu:
Multi-Resolution Hierarchical Blind Recovery of Biochemical Markers of Brain Cancer In MRSI.
ISBI 2004: 233-236 |
13 | EE | 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) |
12 | EE | Paul Sajda,
Kyungim Baek:
Integration of form and motion within a generative model of visual cortex.
Neural Networks 17(5-6): 809-821 (2004) |
2003 |
11 | EE | Lucas C. Parra,
Paul Sajda:
Blind Source Separation via Generalized Eigenvalue Decomposition.
Journal of Machine Learning Research 4: 1261-1269 (2003) |
10 | EE | 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) |
2002 |
9 | EE | Paul Sajda,
Clay Spence,
Lucas C. Parra:
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models.
ISBI 2002: 165-168 |
8 | | Paul Sajda,
Clay Spence,
John C. Pearson:
Learning contextual relationships in mammograms using a pyramid neural network.
IEEE Trans. Med. Imaging 21(3): 239-250 (2002) |
2000 |
7 | EE | 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 |
6 | | Clay Spence,
Lucas C. Parra,
Paul Sajda:
Hierarchical Image Probability (HIP) Models.
ICIP 2000 |
5 | | Lucas C. Parra,
Clay Spence,
Paul Sajda:
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals.
NIPS 2000: 786-792 |
1999 |
4 | EE | Lucas C. Parra,
Clay Spence,
Paul Sajda,
Andreas Ziehe,
Klaus-Robert Müller:
Unmixing Hyperspectral Data.
NIPS 1999: 942-948 |
1998 |
3 | EE | Clay Spence,
Paul Sajda:
Applications of Multi-Resolution Neural Networks to Mammography.
NIPS 1998: 938-944 |
1995 |
2 | EE | Paul Sajda,
Clay Spence,
Steven C. Hsu,
John C. Pearson:
Integrating neural networks with image pyramids to learn target context.
Neural Networks 8(7-8): 1143-1152 (1995) |
1993 |
1 | EE | Paul Sajda,
Leif H. Finkel:
Dual Mechanisms for Neural Binding and Segmentation.
NIPS 1993: 993-1000 |