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Marco F. Duarte
- > Home > Persons > Marco F. Duarte
Publications
- 2020
- [j32]Siwei Feng, Han Yu, Marco F. Duarte:
Autoencoder based sample selection for self-taught learning. Knowl. Based Syst. 192: 105343 (2020) - 2019
- [j30]Siwei Feng, Marco F. Duarte:
Few-shot learning-based human activity recognition. Expert Syst. Appl. 138 (2019) - [i26]Siwei Feng, Marco F. Duarte:
Few-Shot Learning-Based Human Activity Recognition. CoRR abs/1903.10416 (2019) - 2018
- [j27]Siwei Feng, Marco F. Duarte:
Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation. Neurocomputing 312: 310-323 (2018) - [c54]Siwei Feng, Marco F. Duarte:
Graph Regularized Autoencoder-Based Unsupervised Feature Selection. ACSSC 2018: 55-59 - [i24]Siwei Feng, Marco F. Duarte:
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation. CoRR abs/1801.02251 (2018) - [i23]Siwei Feng, Marco F. Duarte:
Autoencoder Based Sample Selection for Self-Taught Learning. CoRR abs/1808.01574 (2018) - 2017
- [j25]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Hyperspectral Band Selection From Statistical Wavelet Models. IEEE Trans. Geosci. Remote. Sens. 55(4): 2111-2123 (2017) - [j24]Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente:
Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation. IEEE Trans. Geosci. Remote. Sens. 55(6): 3272-3286 (2017) - [j21]Yuki Itoh, Marco F. Duarte, Mario Parente:
Perfect Recovery Conditions for Non-negative Sparse Modeling. IEEE Trans. Signal Process. 65(1): 69-80 (2017) - [i20]Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente:
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation. CoRR abs/1701.00804 (2017) - 2016
- [c49]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Band selection from statistical wavelet models. WHISPERS 2016: 1-5 - [i19]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination. CoRR abs/1602.03903 (2016) - 2015
- [c47]Siwei Feng, Marco F. Duarte, Mario Parente:
Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. CVPR Workshops 2015: 19-27 - [c43]Yuki Itoh, Marco F. Duarte, Mario Parente:
Performance guarantees for sparse regression-based unmixing. WHISPERS 2015: 1-4 - [i15]Yuki Itoh, Marco F. Duarte, Mario Parente:
Perfect Recovery Conditions For Non-Negative Sparse Modeling. CoRR abs/1512.02743 (2015) - 2014
- [c41]Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte:
Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. ICIP 2014: 5167-5171 - [c40]Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente:
Hyperspectral unmixing via semantic spectral representations. MWSCAS 2014: 149-152 - 2013
- [c37]Marco F. Duarte, Mario Parente:
Non-homogeneous hidden Markov chain models for wavelet-based hyperspectral image processing. Allerton 2013: 154-159 - [c32]Mario Parente, Marco F. Duarte:
A new semantic wavelet-based spectral representation. WHISPERS 2013: 1-4
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