Tao Hu

Affiliations:
  • Texas A&M University, College Station, TX, USA
  • Howard Hughes Medical Institute, USA (former)


According to our database1, Tao Hu authored at least 12 papers between 2009 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2015
A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.
Neural Comput., 2015

Online computation of sparse representations of time varying stimuli using a biologically motivated neural network.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Sparse LMS via online linearized Bregman iteration.
Proceedings of the IEEE International Conference on Acoustics, 2014

A Hebbian/Anti-Hebbian network for online sparse dictionary learning derived from symmetric matrix factorization.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Electron Microscopy Reconstruction of Brain Structure Using Sparse Representations Over Learned Dictionaries.
IEEE Trans. Medical Imaging, 2013

A neuron as a signal processing device.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way.
Neural Comput., 2012

Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
CoRR, 2012

Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy.
CoRR, 2012

A mechanistic model of early sensory processing based on subtracting sparse representations.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2009
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME).
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009


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