Aamir Anis - RankMe

15 papers A* 1B 1Misc 5Journal 6Unranked 2

Year	Rank	Type	Title / 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