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ORCIDGabor Hannak
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2020 – today
- 2023
[j6]Gabor Hannak, Gábor Horváth, Attila Kádár, Márk Dániel Szalai:
Bilateral-Weighted Online Adaptive Isolation Forest for anomaly detection in streaming data. Stat. Anal. Data Min. 16(3): 215-223 (2023)- 2020
- [j5]Peter Berger, Gabor Hannak
, Gerald Matz:
Efficient Graph Learning From Noisy and Incomplete Data. IEEE Trans. Signal Inf. Process. over Networks 6: 105-119 (2020)
2010 – 2019
- 2019
- [c13]Peter Berger, Thomas Dittrich, Gabor Hannak, Gerald Matz:
Semi-supervised Multiclass Clustering Based on Signed Total Variation. ICASSP 2019: 4953-4957 - 2018
- [j4]Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies:
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. IEEE J. Sel. Top. Signal Process. 12(5): 857-870 (2018) - [c12]Peter Berger, Manfred Buchacher, Gabor Hannak, Gerald Matz:
Graph Learning Based on Total Variation Minimization. ICASSP 2018: 6309-6313 - 2017
- [j3]Peter Berger, Gabor Hannak, Gerald Matz:
Graph Signal Recovery via Primal-Dual Algorithms for Total Variation Minimization. IEEE J. Sel. Top. Signal Process. 11(6): 842-855 (2017) - [c11]Osman Musa, Gabor Hannak, Norbert Goertz:
Efficient recovery from noisy quantized compressed sensing using generalized approximate message passing. CAMSAP 2017: 1-5 - [c10]Peter Berger, Gabor Hannak, Gerald Matz:
Coordinate descent accelerations for signal recovery on scale-free graphs based on total variation minimization. EUSIPCO 2017: 1689-1693 - [c9]Norbert Goertz, Gabor Hannak:
Fast Bayesian Signal Recovery in Compressed Sensing with Partially Unknown Discrete Prior. WSA 2017: 1-8 - [i2]Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies:
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. CoRR abs/1712.04893 (2017) - 2016
- [j2]Martin Mayer, Gabor Hannak, Norbert Goertz:
Exploiting joint sparsity in compressed sensing-based RFID. EURASIP J. Embed. Syst. 2016: 8 (2016) - [c8]Gabor Hannak, Peter Berger, Gerald Matz, Alexander Jung:
Efficient graph signal recovery over big networks. ACSSC 2016: 1839-1843 - [c7]Osman Musa, Gabor Hannak, Norbert Goertz:
Generalized approximate message passing for one-bit compressed sensing with AWGN. GlobalSIP 2016: 1428-1432 - [c6]Gabor Hannak, Martin Mayer, Gerald Matz, Norbert Goertz:
Bayesian QAM demodulation and activity detection for multiuser communication systems. ICC Workshops 2016: 596-601 - [c5]Alexander Jung, Peter Berger, Gabor Hannak, Gerald Matz:
Scalable graph signal recovery for big data over networks. SPAWC 2016: 1-6 - 2015
- [j1]Alexander Jung, Gabor Hannak, Norbert Goertz:
Graphical LASSO based Model Selection for Time Series. IEEE Signal Process. Lett. 22(10): 1781-1785 (2015) - [c4]Gabor Hannak, Martin Mayer, Alexander Jung, Gerald Matz, Norbert Goertz:
Joint channel estimation and activity detection for multiuser communication systems. ICC Workshops 2015: 2086-2091 - [i1]Gabor Hannak, Martin Mayer, Gerald Matz, Norbert Goertz:
An Approach to Complex Bayesian-optimal Approximate Message Passing. CoRR abs/1511.08238 (2015) - 2014
- [c3]Gabor Hannak, Alexander Jung, Norbert Goertz:
On the information-theoretic limits of graphical model selection for Gaussian time series. EUSIPCO 2014: 516-520 - [c2]Valentin Schwarz, Gabor Hannak, Gerald Matz:
On the convergence of average consensus with generalized metropolis-hasting weights. ICASSP 2014: 5442-5446 - 2013
- [c1]Martin Mayer, Gerald Artner, Gabor Hannak, Martin Lerch, Maxime Guillaud:
Measurement Based Evaluation of Interference Alignment on the Vienna MIMO Testbed. ISWCS 2013: 1-5
Coauthor Index
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