- Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach
- In Online Learning in Neural Networks, The Newton Institute Series, D. Saad (ed.), Cambridge University Press, Cambridge, Exact and Perturbation Solutions for the Ensemble
- Bayesian sensor image fusion using local linear generative models
- Communicated by Garrison Cottrell Dimension Reduction by Local Principal Component Analysis
- In Advances in Neural Information Processing Systems 3, Lippmann, Moody and Touretzky (eds.), Morgan Kaufmann, San Mateo, CA, 1991.
- Appears in Proceedings of IJCNN 2011, IEEE Press Perturbation Theory for Stochastic Learning Dynamics
- Project Summary. A key challenge in neuroscience is to understand how the central nervous system processes
- In Neural Networks for Signal Processing { Proceedings of the IEEE Workshop, IEEE, December 2000.
- LETTER Communicated by Richard Lippmann A Fast Histogram-Based Postprocessor That Improves
- In Cowan, J.D., Tesauro, G., and Alspector, J. (eds.) Advances in Neural Information Processing Systems 6, 1994. San Francisco, CA, Morgan Kaufmann Publishers.
- In International Joint Conference on Neural Networks, Baltimore, 1992. Feature Selection for Improved Classi cation
- NECO_a_00164-Lu NECO.cls May 30, 2011 16:4 UncorrectedProof
- Neural Networks 20 (2007) 462478 www.elsevier.com/locate/neunet
- Stability of negative-image equilibria in spike-timing-dependent plasticity Alan Williams* and Patrick D. Roberts
- IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 1, JANUARY 2004 255 A Generalized Lloyd-Type Algorithm for Adaptive
- Fault detection for salinity sensors in the Columbia estuary Cynthia Archer
- Appears in Proceedings of the Data Compression Conference (DCC), 2001, IEEE Computer Society The Coding-Optimal Transform
- In Advances in Neural Information Processing Systems 13, Leen, Dietterich, Tresp (eds.), The MIT Press, 2001.
- Appears in Advances in Neural Information Processing Systems 11, The MIT Press, 1999. Probabilistic Image Sensor Fusion
- In International Joint Conference on Neural Networks, IEEE, 1999.
- Automatic Prediction of Trauma Registry Procedure Codes from Emergency Room William R. Hersha
- Appears in Advances in Neural Information Processing Systems, 7, Tesauro, Touretzky, and Leen (eds.), The MIT Press, 1995.
- Appears in Advances in Neural Information Processing 6, J. Cowan, G. Tesauro, and J. Alspector, eds., Morgan Kaufmann, San Mateo, CA, 1994
- In Cowan, J.D., Tesauro, G., and Alspector, J. (eds.) Advances in Neural Information Processing Systems 6, 1994. San Francisco, CA, Morgan Kaufmann Publishers.
- Learning in Linear Feature-Discovery Networks * Todd K. Leen
- SPEAKER-INDEPENDENT V O M L RECOGNITION: COMPARISON OF BACKPROPAGATION AND
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- In Physics Letters, A-174, pp 89-93, 1993. A Coordinate-Independent
- In Advances in Neural Information Processing Systems 16, Thrun, Saul, and Scholkopf (eds.), The MIT Press, 2004.
- Appears in Advances in Neural Information Processing Systems 9, The MIT Press, 1997.
- Theory and practice of proximity correction by secondary exposure Todd K. Leena)
- Tamara L. Hayes, Ph.D.,1 Kofi Cobbinah, B.S.,4
- In Physical Review E, 56, 1262, July 1997. Stochastic Manhattan Learning: An Exact
- Communicated by Patrice Simard From Data Distributions to Regularization in
- Frontiers in Computational Neuroscience www.frontiersin.org December 2010 | Volume 4 | Article 156 | 1 COMPUTATIONAL NEUROSCIENCE
- Hierarchical Fisher Kernels for Longitudinal Data Zhengdong Lu Todd K. Leen
- PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [OHSU Science & Engineering Library]
- Encoding and Classification in a Model of Olfactory Cortex
- Hebbian Feature Discovery Improves Classifier Efficiency Todd Leen 7, Mike Rudnick t, and Dan Hammerstrom * t
- Random walks for spike-timing-dependent plasticity Alan Williams*
- In IEEE International Conference on Neural Networks, IEEE, 1993. Fast Non-Linear Dimension Reduction
- DETECTING MILD COGNITIVE LOSS WITH CONTINUOUS MONITORING OF MEDICATION ADHERENCE
- 1 Pairwise Constraints as Priors in Probabilistic Clustering 11 Zhengdong Lu and Todd K. Leen
- In IEEE Engineering in Medicine and Biology Conference, 2010. Abstract--In this paper we describe a preliminary modeling
- Appears in Advances in Neural Information Processing Systems 17 Saul, Weiss, and Bottou (eds.), The MIT Press, 2005.
- A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances
- A slightly revised version appears in Physical Rev., E-59, No. 1, 1999. Optimal Asymptotic Learning Rate -Macroscopic vs. Microscopic Dynamics
- In Proceedings of the 1993 Connectionist Models Summer School, M.C. Mozer, P. Smolensky, D.S. Touretzky, J.L. Elman and A.S. Weigend (eds.), Erlbaum
- Multi-stream video fusion using local principal components Ravi K. Sharma
- In Online Learning in Neural Networks, The Newton Institute Series, D. Saad (ed.), Cambridge University Press, Cambridge, Exact and Perturbation Solutions for the Ensemble
- LETTER Communicated by Kiri Wagstaff Penalized Probabilistic Clustering
- LETTER Communicated by Eugene Demidenko Kernels for Longitudinal Data with Variable Sequence
- To appear in Neural Computation 2012. Stochastic Perturbation Methods for
- NECO_a_00267-Leen neco.cls January 9, 2012 10:19 UncorrectedProof
