Paul Sajda

Jordan Muraskin, Melvyn B. Ooi, Robin Goldman, Sascha Krueger, William J. Thomas, Paul Sajda, Truman R. Brown: Prospective active marker motion correction improves statistical power in BOLD fMRI. NeuroImage 68: 154-161 (2013)

Marcel Worring, Paul Sajda, Simone Santini, David A. Shamma, Alan F. Smeaton, Qiang Yang: Where Is the User in Multimedia Retrieval? IEEE MultiMedia 19(4): 6-10 (2012)

Bryan Conroy, Paul Sajda: Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression. Journal of Machine Learning Research - Proceedings Track 22: 246-254 (2012)

Christoforos Christoforou, Robert M. Haralick, Paul Sajda, Lucas C. Parra: Second-Order Bilinear Discriminant Analysis. Journal of Machine Learning Research 11: 665-685 (2010)

Jianing Shi, Wotao Yin, Stanley Osher, Paul Sajda: A Fast Hybrid Algorithm for Large-Scale l₁-Regularized Logistic Regression. Journal of Machine Learning Research 11: 713-741 (2010)

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)

Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh Kumar Singh, Shih-Fu Chang: In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. Proceedings of the IEEE 98(3): 462-478 (2010)

Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang: Cortically-Coupled Computer Vision. Brain-Computer Interfaces 2010: 133-148

Robin Goldman, Cheng-Yu Wei, Marios G. Philiastides, Adam D. Gerson, David Friedman, Truman R. Brown, Paul Sajda: Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task. NeuroImage 47(1): 136-147 (2009)

Mads Dyrholm, Robin Goldman, Paul Sajda, Truman R. Brown: Removal of BCG Artifacts Using a Non-Kirchhoffian Overcomplete Representation. IEEE Trans. Biomed. Engineering 56(2): 200-204 (2009)

Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang Jiang, Paul Sajda, Shih-Fu Chang: Brain state decoding for rapid image retrieval. ACM Multimedia 2009: 945-954

Christoforos Christoforou, Paul Sajda, Lucas C. Parra: Second Order Bilinear Discriminant Analysis for single trial EEG analysis. NIPS 2007

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)

Marios G. Philiastides, Paul Sajda: Causal Influences in the Human Brain During Face Discrimination: A Short-Window Directed Transfer Function Approach. IEEE Trans. Biomed. Engineering 53(12): 2602-2605 (2006)

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)

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

Paul Sajda, Yehoshua Y. Zeevi: Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing. Int. J. Imaging Systems and Technology 15(1): 1 (2005)

Jim Wielaard, Paul Sajda: Neural mechanisms of contrast dependent receptive field size in V1. NIPS 2005

Paul Sajda, Kyungim Baek: Integration of form and motion within a generative model of visual cortex. Neural Networks 17(5-6): 809-821 (2004)

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)

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

An Luo, Paul Sajda, Adam D. Gerson: Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG. ISBI 2004: 1012-1015

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)

Lucas C. Parra, Paul Sajda: Blind Source Separation via Generalized Eigenvalue Decomposition. Journal of Machine Learning Research 4: 1261-1269 (2003)

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)

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)

Paul Sajda, Clay Spence, Lucas C. Parra: Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI 2002: 165-168

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

Clay Spence, Lucas C. Parra, Paul Sajda: Hierarchical Image Probability (HIP) Models. ICIP 2000: 320-323

Lucas C. Parra, Clay Spence, Paul Sajda: Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS 2000: 786-792

Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller: Unmixing Hyperspectral Data. NIPS 1999: 942-948

Clay Spence, Paul Sajda: Applications of Multi-Resolution Neural Networks to Mammography. NIPS 1998: 938-944

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)

Paul Sajda, Clay Spence, John C. Pearson: A hierarchical neural network architecture that learns target context: applications to digital mammography. ICIP (3) 1995: 149-151

Paul Sajda, Leif H. Finkel: Dual Mechanisms for Neural Binding and Segmentation. NIPS 1993: 993-1000

Leif H. Finkel, Paul Sajda: Object Discrimination Based on Depth-from-Occlusion. Neural Computation 4(6): 901-921 (1992)