2016
Yin, Rachel; Monson, Eric; Honig, Elisabeth; Daubechies, Ingrid; Maggioni, Mauro
Object recognition in art drawings: Transfer of a neural network Proceedings Article
In: Proc. IEEE ICASSP, 2016.
BibTeX | Tags: imaging, Machine learning, neural networks, transfer learning
@inproceedings{YinArtDrawings,
title = {Object recognition in art drawings: Transfer of a neural network},
author = {Rachel Yin and Eric Monson and Elisabeth Honig and Ingrid Daubechies and Mauro Maggioni},
year = {2016},
date = {2016-01-01},
booktitle = {Proc. IEEE ICASSP},
keywords = {imaging, Machine learning, neural networks, transfer learning},
pubstate = {published},
tppubtype = {inproceedings}
}
2012
Bouvrie, Jake; Maggioni, Mauro
Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning Journal Article
In: 2012.
Links | BibTeX | Tags: Machine learning, multiscale analysis, reinforcement learning, representation learning, spectral graph theory, transfer learning
@article{BM:MMDPs,
title = {Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning},
author = {Jake Bouvrie and Mauro Maggioni},
url = {http://arxiv.org/abs/1212.1143},
year = {2012},
date = {2012-01-01},
keywords = {Machine learning, multiscale analysis, reinforcement learning, representation learning, spectral graph theory, transfer learning},
pubstate = {published},
tppubtype = {article}
}
- Lectures at Summer School at Peking University, July 2017.
- PCMI Lectures, Summer 2016: Lecture 1, Lecture 2, Problems/discussion points
- Google Scholar
- Papers on the ArXiv
- Papers on MathsciNet
- Tutorials on diffusion geometry and multiscale analysis on graphs at the MRA Internet Program at IPAM: Part I and Part II.
- Diffusion Geometries, Diffusion Wavelets and Harmonic Analysis of large data sets, IPAM, Multiscale Geometric Analysis Program, Fall 2004.
- Diffusion Geometries, global and multiscale, IPAM, 2005.