Gabor Hannak

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 18

Top Topics

Signal Recovery

Model Selection

Compressed Sensing

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

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) (2023)
Peter Berger, Gabor Hannak, Gerald Matz
Efficient Graph Learning From Noisy and Incomplete Data. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Peter Berger, Thomas Dittrich, Gabor Hannak, Gerald Matz
Semi-supervised Multiclass Clustering Based on Signed Total Variation. ICASSP (2019)
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) (2018)
Peter Berger, Manfred Buchacher, Gabor Hannak, Gerald Matz
Graph Learning Based on Total Variation Minimization. ICASSP (2018)
Norbert Goertz, Gabor Hannak
Fast Bayesian Signal Recovery in Compressed Sensing with Partially Unknown Discrete Prior. WSA (2017)
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) (2017)
Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. CoRR (2017)
Peter Berger, Gabor Hannak, Gerald Matz
Coordinate descent accelerations for signal recovery on scale-free graphs based on total variation minimization. EUSIPCO (2017)
Osman Musa, Gabor Hannak, Norbert Goertz
Efficient recovery from noisy quantized compressed sensing using generalized approximate message passing. CAMSAP (2017)
Martin Mayer, Gabor Hannak, Norbert Goertz
Exploiting joint sparsity in compressed sensing-based RFID. EURASIP J. Embed. Syst. 2016 (2016)
Gabor Hannak, Peter Berger, Gerald Matz, Alexander Jung
Efficient graph signal recovery over big networks. ACSSC (2016)
Alexander Jung, Peter Berger, Gabor Hannak, Gerald Matz
Scalable graph signal recovery for big data over networks. SPAWC (2016)
Gabor Hannak, Martin Mayer, Gerald Matz, Norbert Goertz
Bayesian QAM demodulation and activity detection for multiuser communication systems. ICC Workshops (2016)
Osman Musa, Gabor Hannak, Norbert Goertz
Generalized approximate message passing for one-bit compressed sensing with AWGN. GlobalSIP (2016)
Gabor Hannak, Martin Mayer, Alexander Jung, Gerald Matz, Norbert Goertz
Joint channel estimation and activity detection for multiuser communication systems. ICC Workshops (2015)
Alexander Jung, Gabor Hannak, Norbert Goertz
Graphical LASSO based Model Selection for Time Series. IEEE Signal Process. Lett. 22 (10) (2015)
Gabor Hannak, Martin Mayer, Gerald Matz, Norbert Goertz
An Approach to Complex Bayesian-optimal Approximate Message Passing. CoRR (2015)
Gabor Hannak, Alexander Jung, Norbert Goertz
On the information-theoretic limits of graphical model selection for Gaussian time series. EUSIPCO (2014)
Valentin Schwarz, Gabor Hannak, Gerald Matz
On the convergence of average consensus with generalized metropolis-hasting weights. ICASSP (2014)
Martin Mayer, Gerald Artner, Gabor Hannak, Martin Lerch, Maxime Guillaud
Measurement Based Evaluation of Interference Alignment on the Vienna MIMO Testbed. ISWCS (2013)