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2020 – today
- 2020
[c12]Sam John, Akshay Gadde, Balu Adsumilli:
Rate Distortion Optimization Over Large Scale Video Corpus With Machine Learning. ICIP 2020: 1286-1290- [i10]Sam John, Akshay Gadde, Balu Adsumilli:
Rate distortion optimization over large scale video corpus with machine learning. CoRR abs/2008.12408 (2020)
2010 – 2019
- 2017
- [c11]Akshay Gadde, Mengying Xu, Antonio Ortega:
Sparse inverse bilateral filters for image processing. ICASSP 2017: 1437-1441 - [i9]Andrew Knyazev, Akshay Gadde, Hassan Mansour, Dong Tian:
Guided Signal Reconstruction Theory. CoRR abs/1702.00852 (2017) - 2016
- [j1]Aamir Anis
, Akshay Gadde, Antonio Ortega:
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies. IEEE Trans. Signal Process. 64(14): 3775-3789 (2016) - [c10]Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega:
Active learning on weighted graphs using adaptive and non-adaptive approaches. ICASSP 2016: 6175-6179 - [c9]Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega:
Active learning for community detection in stochastic block models. ISIT 2016: 1889-1893 - [i8]Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega:
Active Learning for Community Detection in Stochastic Block Models. CoRR abs/1605.02372 (2016) - [i7]Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega:
Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches. CoRR abs/1605.05710 (2016) - 2015
- [c8]Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour:
Guided signal reconstruction with application to image magnification. GlobalSIP 2015: 938-942 - [c7]Akshay Gadde, Antonio Ortega:
A probabilistic interpretation of sampling theory of graph signals. ICASSP 2015: 3257-3261 - [i6]Akshay Gadde, Antonio Ortega:
A Probabilistic Interpretation of Sampling Theory of Graph Signals. CoRR abs/1503.06629 (2015) - [i5]Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour:
Guided Signal Reconstruction with Application to Image Magnification. CoRR abs/1509.02465 (2015) - [i4]Aamir Anis, Akshay Gadde, Antonio Ortega:
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies. CoRR abs/1510.00297 (2015) - 2014
- [c6]Aamir Anis, Akshay Gadde, Antonio Ortega:
Towards a sampling theorem for signals on arbitrary graphs. ICASSP 2014: 3864-3868 - [c5]Thomas Maugey, Yung Hsuan Chao, Akshay Gadde, Antonio Ortega, Pascal Frossard:
Luminance coding in graph-based representation of multiview images. ICIP 2014: 130-134 - [c4]Akshay Gadde, Aamir Anis, Antonio Ortega:
Active semi-supervised learning using sampling theory for graph signals. KDD 2014: 492-501 - [i3]Akshay Gadde, Aamir Anis, Antonio Ortega:
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals. CoRR abs/1405.4324 (2014) - 2013
- [c3]Sunil K. Narang, Akshay Gadde, Eduard Sanou, Antonio Ortega:
Localized iterative methods for interpolation in graph structured data. GlobalSIP 2013: 491-494 - [c2]Sunil K. Narang, Akshay Gadde, Antonio Ortega:
Signal processing techniques for interpolation in graph structured data. ICASSP 2013: 5445-5449 - [c1]Akshay Gadde, Sunil K. Narang, Antonio Ortega:
Bilateral filter: Graph spectral interpretation and extensions. ICIP 2013: 1222-1226 - [i2]Akshay Gadde, Sunil K. Narang, Antonio Ortega:
Bilateral Filter: Graph Spectral Interpretation and Extensions. CoRR abs/1303.2685 (2013) - [i1]Sunil K. Narang, Akshay Gadde, Eduard Sanou, Antonio Ortega:
Localized Iterative Methods for Interpolation in Graph Structured Data. CoRR abs/1310.2646 (2013)
Coauthor Index
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