Daniel D. Lee - Concepedia

Author

Daniel D. Lee

University of Pennsylvania ORCID

Also Known As

Behnke, Sven, Daniel D Lee, Daniel D. Lee, Daniel Dongyuel Lee, Daniel Lee, Lee, Daniel, Lee, Daniel D, Lee, Daniel D.

205

Publications

26.2K

Citations

H-Index

164

Concepts

All Affiliations

University of Pennsylvania University of California, Los Angeles Massachusetts Institute of Technology Seoul National University Hebrew University of Jerusalem

About

Daniel D. Lee is an author at University of Pennsylvania specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	28	57	17.6K
2	Health Sciences	13	17	443
3	Natural Sciences	6	6	232
4	Social Sciences	6	6	948
5	Medicine	3	3	394

Daniel D. Lee

Publications

24.7K

Citations

H-Index

Page 1

	Year	Citations
Learning the parts of objects by non-negative matrix factorization Daniel D. Lee, H. Sebastian Seung Nature Non-negative Matrix FactorizationMachine VisionImage AnalysisData ScienceMachine Learning	1999	13.8K
Algorithms for Non-negative Matrix Factorization Daniel D. Lee, H. Sebastian Seung	2000	5.5K
Grassmann discriminant analysis Jihun Hamm, Daniel D. Lee Schubert CalculusEngineeringMachine LearningProjection KernelFeature Extraction	2008	591
A kernel view of the dimensionality reduction of manifolds Jihun Ham, Daniel D. Lee, Sebastian Mika, EngineeringManifold LearningData SciencePattern RecognitionKernel Pca	2004	538
Stability of the Memory of Eye Position in a Recurrent Network of Conductance-Based Model Neurons H. Sebastian Seung, Daniel D. Lee, Ben Y. Reis, Neuron Sensorimotor ControlNeural MechanismNeurodynamicsOphthalmologyComputational Neuroscience	2000	356
Equilibrium Properties of Temporally Asymmetric Hebbian Plasticity Jonathan E. Rubin, Daniel D. Lee, Haim Sompolinsky Physical Review Letters Dynamic EquilibriumAsymmetric Hebb RulesCoherence ResonanceNeurotransmissionEquilibrium Properties	2001	311
Learning Optimal Resource Allocations in Wireless Systems Mark Eisen, Clark Zhang, Luiz F. O. Chamon, IEEE Transactions on Signal Processing Model OptimizationCognitive Radio Resource ManagementDynamic Spectrum ManagementDeep Neural NetworksEngineering	2019	262
Semisupervised alignment of manifolds. Jihun Ham, Daniel D. Lee, Lawrence K. Saul International Conference on Artificial Intelligence and Statistics Semisupervised Learning AlgorithmsEngineeringMachine LearningGeometryManifold Modeling	2005	254
Approximating Explicit Model Predictive Control Using Constrained Neural Networks Steven Chen, Kelsey Saulnier, Nikolay Atanasov, Artificial IntelligenceMathematical ProgrammingEngineeringMachine LearningModel-based Control Technique	2018	206
Short-Term Memory in Orthogonal Neural Networks Olivia L. White, Daniel D. Lee, Haim Sompolinsky Physical Review Letters EngineeringMachine LearningSequential LearningNetwork AnalysisRecurrent Neural Network	2004	182

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