Aamir Anis

According to our database, Aamir Anis authored at least 11 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning.

Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega

IEEE Trans. Inf. Theory, 2019

2018

Cascade and Lifting Structures in the Spectral Domain for Bipartite Graph Filter Banks.

David B. H. Tay, Antonio Ortega, Aamir Anis

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

A switchable loop-restoration with side-information framework for the emerging AV1 video codec.

Debargha Mukherjee, Shunyao Li, Yue Chen, Aamir Anis, Sarah Parker, James Bankoski

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Critical sampling for wavelet filterbanks on arbitrary graphs.

Aamir Anis, Antonio Ortega

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Tree-structured filter banks for M-block cyclic graphs.

Aamir Anis, David B. H. Tay, Antonio Ortega

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies.

Aamir Anis, Akshay Gadde, Antonio Ortega

IEEE Trans. Signal Process., 2016

Compression of dynamic 3D point clouds using subdivisional meshes and graph wavelet transforms.

Aamir Anis, Philip A. Chou, Antonio Ortega

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning.

Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Markov chain sparsification with independent sets for approximate value iteration.

Eduardo Pavez, Nicolò Michelusi, Aamir Anis, Urbashi Mitra, Antonio Ortega

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Active semi-supervised learning using sampling theory for graph signals.

Akshay Gadde, Aamir Anis, Antonio Ortega

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Towards a sampling theorem for signals on arbitrary graphs.

Aamir Anis, Akshay Gadde, Antonio Ortega

Proceedings of the IEEE International Conference on Acoustics, 2014