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Tao Hu 0005
Person information
- affiliation: Texas A&M University, College Station, TX, USA
- affiliation (former): Howard Hughes Medical Institute, USA
Other persons with the same name
- Tao Hu — disambiguation page
- Tao Hu 0001 — Capital Normal University, School of Mathematical Sciences, Beijing, China
- Tao Hu 0002 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Tao Hu 0003 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China
- Tao Hu 0004 — Harvard University, Center for Geographic Analysis, Cambridge, MA, USA (and 1 more)
- Tao Hu 0006 — University of Maryland, Department of Computer Science, College Park, MD, USA
- Tao Hu 0007 — University of Trento, ICT Doctoral School, Italy (and 1 more)
- Tao Hu 0008 — Zhejiang University, State Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Hangzhou, China
- Tao Hu 0009 — Nagoya University, Graduate School of Informatics, Japan
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2010 – 2019
- 2015
- [j3]Cengiz Pehlevan, Tao Hu, Dmitri B. Chklovskii:
A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data. Neural Comput. 27(7): 1461-1495 (2015) - [c7]Tao Hu, Dmitri B. Chklovskii:
Online computation of sparse representations of time varying stimuli using a biologically motivated neural network. ICASSP 2015: 1991-1995 - [i7]Cengiz Pehlevan, Tao Hu, Dmitri B. Chklovskii:
A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data. CoRR abs/1503.00669 (2015) - [i6]Tao Hu, Cengiz Pehlevan, Dmitri B. Chklovskii:
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization. CoRR abs/1503.00690 (2015) - 2014
- [c6]Tao Hu, Cengiz Pehlevan, Dmitri B. Chklovskii:
A Hebbian/Anti-Hebbian network for online sparse dictionary learning derived from symmetric matrix factorization. ACSSC 2014: 613-619 - [c5]Tao Hu, Dmitri B. Chklovskii:
Sparse LMS via online linearized Bregman iteration. ICASSP 2014: 7213-7217 - 2013
- [j2]Tao Hu, Juan Nunez-Iglesias, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Mehdi Bolorizadeh, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii:
Electron Microscopy Reconstruction of Brain Structure Using Sparse Representations Over Learned Dictionaries. IEEE Trans. Medical Imaging 32(12): 2179-2188 (2013) - [c4]Tao Hu, Zaid J. Towfic, Cengiz Pehlevan, Alex V. Genkin, Dmitri B. Chklovskii:
A neuron as a signal processing device. ACSSC 2013: 362-366 - 2012
- [j1]Tao Hu, Alexander Genkin, Dmitri B. Chklovskii:
A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way. Neural Comput. 24(11): 2852-2872 (2012) - [c3]Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii:
A mechanistic model of early sensory processing based on subtracting sparse representations. NIPS 2012: 1988-1996 - [i5]Tao Hu, Dmitri B. Chklovskii:
Sparse LMS via Online Linearized Bregman Iteration. CoRR abs/1210.0563 (2012) - [i4]Tao Hu, Juan Nunez-Iglesias, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Mehdi Bolorizadeh, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii:
Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy. CoRR abs/1210.0564 (2012) - [i3]Tao Hu, Alexander Genkin, Dmitri B. Chklovskii:
A network of spiking neurons for computing sparse representations in an energy efficient way. CoRR abs/1210.1530 (2012) - [i2]Tao Hu, Dmitri B. Chklovskii:
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME). CoRR abs/1210.1544 (2012) - [i1]Tao Hu, Dmitri B. Chklovskii:
Online computation of sparse representations of time varying stimuli using a biologically motivated neural network. CoRR abs/1210.3741 (2012) - 2011
- [c2]Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou Scheffer, Shan Xu, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii, Ronen Basri:
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery. EMMCVPR 2011: 261-272
2000 – 2009
- 2009
- [c1]Tao Hu, Anthony M. Leonardo, Dmitri B. Chklovskii:
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME). NIPS 2009: 790-798
Coauthor Index
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