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2010 – 2019
- 2019
[j2]Aamir Anis
, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega:
A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning. IEEE Trans. Inf. Theory 65(4): 2322-2342 (2019)- 2018
- [c9]David B. H. Tay, Antonio Ortega, Aamir Anis:
Cascade and Lifting Structures in the Spectral Domain for Bipartite Graph Filter Banks. APSIPA 2018: 1141-1147 - 2017
- [c8]Aamir Anis, David B. H. Tay, Antonio Ortega:
Tree-structured filter banks for M-block cyclic graphs. ACSSC 2017: 55-59 - [c7]Aamir Anis, Antonio Ortega:
Critical sampling for wavelet filterbanks on arbitrary graphs. ICASSP 2017: 3889-3893 - [c6]Debargha Mukherjee, Shunyao Li, Yue Chen, Aamir Anis, Sarah Parker, James Bankoski:
A switchable loop-restoration with side-information framework for the emerging AV1 video codec. ICIP 2017: 265-269 - [i4]Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega:
A Sampling Theory Perspective of Graph-based Semi-supervised Learning. CoRR abs/1705.09518 (2017) - 2016
- [j1]Aamir Anis, Akshay Gadde, Antonio Ortega:
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies. IEEE Trans. Signal Process. 64(14): 3775-3789 (2016) - [c5]Aamir Anis, Philip A. Chou, Antonio Ortega:
Compression of dynamic 3D point clouds using subdivisional meshes and graph wavelet transforms. ICASSP 2016: 6360-6364 - 2015
- [c4]Eduardo Pavez, Nicolò Michelusi, Aamir Anis, Urbashi Mitra, Antonio Ortega:
Markov chain sparsification with independent sets for approximate value iteration. Allerton 2015: 1399-1405 - [c3]Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega:
Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning. ICASSP 2015: 5461-5465 - [i3]Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega:
Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning. CoRR abs/1502.04248 (2015) - [i2]Aamir Anis, Akshay Gadde, Antonio Ortega:
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies. CoRR abs/1510.00297 (2015) - 2014
- [c2]Aamir Anis, Akshay Gadde, Antonio Ortega:
Towards a sampling theorem for signals on arbitrary graphs. ICASSP 2014: 3864-3868 - [c1]Akshay Gadde, Aamir Anis, Antonio Ortega:
Active semi-supervised learning using sampling theory for graph signals. KDD 2014: 492-501 - [i1]Akshay Gadde, Aamir Anis, Antonio Ortega:
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals. CoRR abs/1405.4324 (2014)
Coauthor Index
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