Search Results - "Anis, Aamir"

Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies by Anis, Aamir, Gadde, Akshay, Ortega, Antonio

“…We study the problem of selecting the best sampling set for bandlimited reconstruction of signals on graphs. A frequency domain representation for graph…”
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A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning by Anis, Aamir, El Gamal, Aly, Avestimehr, A. Salman, Ortega, Antonio

“…Graph-based methods have been quite successful in solving unsupervised and semi-supervised learning problems, as they provide a means to capture the underlying…”
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Towards a sampling theorem for signals on arbitrary graphs by Anis, Aamir, Gadde, Akshay, Ortega, Antonio

“…In this paper, we extend the Nyquist-Shannon theory of sampling to signals defined on arbitrary graphs. Using spectral graph theory, we establish a cut-off…”
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Maximum-likelihood coherent-state quantum process tomography by Anis, Aamir, Lvovsky, A I

“…Coherent-state quantum process tomography (csQPT) is a method for completely characterizing a quantum-optical 'black box' by probing it with coherent states…”
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Critical sampling for wavelet filterbanks on arbitrary graphs by Anis, Aamir, Ortega, Antonio

“…Current formulations of critically-sampled graph wavelet filterbanks work only for bipartite graphs where downsampling signals on either partition leads to a…”
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Compression of dynamic 3D point clouds using subdivisional meshes and graph wavelet transforms by Anis, Aamir, Chou, Philip A., Ortega, Antonio

“…The advent of advanced acquisition techniques in 3D media applications has led to an increasing trend of capturing dynamic objects and scenes via 3D point…”
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A switchable loop-restoration with side-information framework for the emerging AV1 video codec by Mukherjee, Debargha, Li, Shunyao, Chen, Yue, Anis, Aamir, Parker, Sarah, Bankoski, James

“…Image restoration schemes have traditionally been targeted only for use in a blind scenario, where the aim is to improve the quality of an image or video after…”
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Sampling Theory for Graph Signals With Applications to Semi-Supervised Learning by Anis, Aamir

“…The representation, processing and analysis of large-scale data as signals defined over graphs has drawn much interest recently. Graphs allow us to embed…”
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Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning by Anis, Aamir, El Gamal, Aly, Avestimehr, Salman, Ortega, Antonio

“…Graph-based methods play an important role in unsupervised and semi-supervised learning tasks by taking into account the underlying geometry of the data set…”
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Tree-structured filter banks for M-block cyclic graphs by Anis, Aamir, Tay, David B. H., Ortega, Antonio

“…In this paper, we study the design of graph wavelet filter banks over M-block cyclic graphs. These graphs are natural directed extensions of bipartite graphs…”
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Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies by Anis, Aamir, Gadde, Akshay, Ortega, Antonio

“…We study the problem of selecting the best sampling set for bandlimited reconstruction of signals on graphs. A frequency domain representation for graph…”
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Cascade and Lifting Structures in the Spectral Domain for Bipartite Graph Filter Banks by Tay, David B. H., Ortega, Antonio, Anis, Aamir

“…In classical multirate filter bank systems, the cascade (product) of simple polyphase matrices is an important technique for the theory, design and…”
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A Sampling Theory Perspective of Graph-based Semi-supervised Learning by Anis, Aamir, Gamal, Aly El, Avestimehr, Salman, Ortega, Antonio

“…in IEEE Transactions on Information Theory, vol. 65, no. 4, pp. 2322-2342, April 2019 Graph-based methods have been quite successful in solving unsupervised…”
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Markov chain sparsification with independent sets for approximate value iteration by Pavez, Eduardo, Michelusi, Nicolo, Anis, Aamir, Mitra, Urbashi, Ortega, Antonio

“…The ever-increasing size of wireless networks poses a significant computational challenge for policy optimization schemes. In this paper, we propose a…”
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Active Semi-Supervised Learning Using Sampling Theory for Graph Signals by Gadde, Akshay, Anis, Aamir, Ortega, Antonio

“…We consider the problem of offline, pool-based active semi-supervised learning on graphs. This problem is important when the labeled data is scarce and…”
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Maximum-likelihood coherent-state quantum process tomography by Anis, Aamir, Lvovsky, A. I

“…New Journal of Physics 14, 105021 (2012) Coherent-state quantum process tomography (csQPT) is a method of completely characterizing a quantum-optical "black…”
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Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning by Anis, Aamir, Gamal, Aly El, Avestimehr, A. Salman, Ortega, Antonio

“…Graph-based methods play an important role in unsupervised and semi-supervised learning tasks by taking into account the underlying geometry of the data set…”
Get full text