Aamir Anis

15 papers A* 1B 1Misc 5Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2019 J jnl
A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning.
IEEE Trans. Inf. Theory
Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega
2018 — conf
Cascade and Lifting Structures in the Spectral Domain for Bipartite Graph Filter Banks.
APSIPA
David B. H. Tay, Antonio Ortega, Aamir Anis
2017 J jnl
A Sampling Theory Perspective of Graph-based Semi-supervised Learning.
CoRR
Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega
2017 B conf
A switchable loop-restoration with side-information framework for the emerging AV1 video codec.
ICIP
Debargha Mukherjee, Shunyao Li, Yue Chen, Aamir Anis, Sarah Parker, James Bankoski
2017 Misc conf
Critical sampling for wavelet filterbanks on arbitrary graphs.
ICASSP
Aamir Anis, Antonio Ortega
2017 Misc conf
Tree-structured filter banks for M-block cyclic graphs.
ACSSC
Aamir Anis, David B. H. Tay, Antonio Ortega
2016 Misc conf
Compression of dynamic 3D point clouds using subdivisional meshes and graph wavelet transforms.
ICASSP
Aamir Anis, Philip A. Chou, Antonio Ortega
2016 J jnl
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies.
IEEE Trans. Signal Process.
Aamir Anis, Akshay Gadde, Antonio Ortega
2015 J jnl
Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning.
CoRR
Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega
2015 Misc conf
Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning.
ICASSP
Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega
2015 J jnl
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies.
CoRR
Aamir Anis, Akshay Gadde, Antonio Ortega
2015 — conf
Markov chain sparsification with independent sets for approximate value iteration.
Allerton
Eduardo Pavez, Nicolò Michelusi, Aamir Anis, Urbashi Mitra, Antonio Ortega
2014 J jnl
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals.
CoRR
Akshay Gadde, Aamir Anis, Antonio Ortega
2014 A* conf
Active semi-supervised learning using sampling theory for graph signals.
KDD
Akshay Gadde, Aamir Anis, Antonio Ortega
2014 Misc conf
Towards a sampling theorem for signals on arbitrary graphs.
ICASSP
Aamir Anis, Akshay Gadde, Antonio Ortega