Search Results - "Gadde, Akshay"

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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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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A probabilistic interpretation of sampling theory of graph signals by Gadde, Akshay, Ortega, Antonio

“…We give a probabilistic interpretation of sampling theory of graph signals. To do this, we first define a generative model for the data using a pairwise…”
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Bilateral filter: Graph spectral interpretation and extensions by Gadde, Akshay, Narang, Sunil K., Ortega, Antonio

“…In this paper we study the bilateral filter proposed by Tomasi and Manduchi and show that it can be viewed as a spectral domain transform defined on a weighted…”
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Localized iterative methods for interpolation in graph structured data by Narang, Sunil K., Gadde, Akshay, Sanou, Eduard, Ortega, Antonio

“…In this paper, we present two localized graph filtering based methods for interpolating graph signals defined on the vertices of arbitrary graphs from only a…”
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Signal processing techniques for interpolation in graph structured data by Narang, Sunil K., Gadde, Akshay, Ortega, Antonio

“…In this paper, we propose a novel algorithm to interpolate data defined on graphs, using signal processing concepts. The interpolation of missing values from…”
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Rate Distortion Optimization Over Large Scale Video Corpus With Machine Learning by John, Sam, Gadde, Akshay, Adsumilli, Balu

“…We present an efficient codec-agnostic method for bitrate allocation over a large scale video corpus with the goal of minimizing the average bitrate subject to…”
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Sampling and Filtering of Signals on Graphs With Applications to Active Learning and Image Processing by Gadde, Akshay

“…Graph signals provide a natural representation for data in many applications such as social networks, web information analysis, sensor networks and machine…”
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Sparse inverse bilateral filters for image processing by Gadde, Akshay, Mengying Xu, Ortega, Antonio

“…The bilateral filter (BF) is a prominent tool for adaptive, structure-preserving image filtering. It can be interpreted as a graph-based filter, where the…”
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Active learning on weighted graphs using adaptive and non-adaptive approaches by Gad, Eyal En, Gadde, Akshay, Avestimehr, A. Salman, Ortega, Antonio

“…This paper studies graph-based active learning, where the goal is to reconstruct a binary signal defined on the nodes of a weighted graph, by sampling it on a…”
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Luminance coding in graph-based representation of multiview images by Maugey, Thomas, Yung-Hsuan Chao, Gadde, Akshay, Ortega, Antonio, Frossard, Pascal

“…Multi-view video transmission poses great challenges because of its data size and dimension. Therefore, how to design efficient 3D scene representations and…”
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Rate distortion optimization over large scale video corpus with machine learning by John, Sam, Gadde, Akshay, Adsumilli, Balu

“…We present an efficient codec-agnostic method for bitrate allocation over a large scale video corpus with the goal of minimizing the average bitrate subject to…”
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A Probabilistic Interpretation of Sampling Theory of Graph Signals by Gadde, Akshay, Ortega, Antonio

“…We give a probabilistic interpretation of sampling theory of graph signals. To do this, we first define a generative model for the data using a pairwise…”
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Active learning for community detection in stochastic block models by Gadde, Akshay, Gad, Eyal En, Avestimehr, Salman, Ortega, Antonio

“…The stochastic block model (SBM) is an important generative model for random graphs in network science and machine learning, useful for benchmarking community…”
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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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A brief theory of guided signal reconstruction by Knyazev, Andrew, Mansour, Hassan, Dong Tian, Gadde, Akshay

“…An axiomatic approach to signal reconstruction is formulated, involving a sample consistent set, defined as a set of signals sample-consistent with the…”
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Guided Signal Reconstruction Theory by Knyazev, Andrew, Gadde, Akshay, Mansour, Hassan, Tian, Dong

“…An axiomatic approach to signal reconstruction is formulated, involving a sample consistent set and a guiding set, describing desired reconstructions. New…”
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Guided signal reconstruction with application to image magnification by Gadde, Akshay, Knyazev, Andrew, Dong Tian, Mansour, Hassan

“…We study the problem of reconstructing a signal from its projection on a subspace. The proposed signal reconstruction algorithms utilize a guiding subspace…”
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Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches by Gad, Eyal En, Gadde, Akshay, Avestimehr, A. Salman, Ortega, Antonio

“…This paper studies graph-based active learning, where the goal is to reconstruct a binary signal defined on the nodes of a weighted graph, by sampling it on 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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