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ORCIDMübeccel Demirekler
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2020 – today
- 2023
[j24]Özcan Dülger
, Halit Oguztüzün, Mübeccel Demirekler:
Uphill resampling for particle filter and its implementation on graphics processing unit. Parallel Comput. 115: 102994 (2023)- 2021
- [c45]Nuri Baran Ayana, Duygu Acar Içer, Hasan Ihsan Turhan, Mübeccel Demirekler:
Partially Observable Markov Model Based Multi-Armed Bandits Structured Radar Emission Management Algorithm. SIU 2021: 1-4 - 2020
- [c44]Hasan Ihsan Turhan, Duygu Acar, Nuri Baran Ayana, Kenan Ahiska, Mübeccel Demirekler:
Hidden Markov Model Based Variable Structured Multiple Model Algorithm. SIU 2020: 1-4
2010 – 2019
- 2018
- [j23]Omer Melih Gul, Mübeccel Demirekler:
Asymptotically Throughput Optimal Scheduling for Energy Harvesting Wireless Sensor Networks. IEEE Access 6: 45004-45020 (2018) - [j22]Özcan Dülger, Halit Oguztüzün, Mübeccel Demirekler:
Memory Coalescing Implementation of Metropolis Resampling on Graphics Processing Unit. J. Signal Process. Syst. 90(3): 433-447 (2018) - [c43]Duygu Acar, Eda Karala, Mübeccel Demirekler:
Association of a 2D radar measurement to a 2D track generated by another radar. SIU 2018: 1-4 - [c42]Hasan Ihsan Turhan, Mübeccel Demirekler, Duygu Acar:
Target classification from radar cross section using Hidden Markov Model. SIU 2018: 1-4 - 2017
- [j21]Omer Melih Gul, Mübeccel Demirekler:
Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Networks. Sensors 17(10): 2206 (2017) - [c41]Hasan Ihsan Turhan, Mübeccel Demirekler:
A novel combination methodology for Dempster-Shafer theory. SIU 2017: 1-4 - 2016
- [j20]Melih Gunay, Umut Orguner, Mübeccel Demirekler:
Chernoff fusion of Gaussian mixtures based on sigma-point approximation. IEEE Trans. Aerosp. Electron. Syst. 52(6): 2732-2746 (2016) - [c40]Selim Ozgen, Mübeccel Demirekler, Umut Orguner:
On the solution of data association problem using rollout algorithms. FUSION 2016: 695-702 - [c39]Selim Özgen, Mübeccel Demirekler:
A Fast Elimination Method for Pruning in POMDPs. KI 2016: 56-68 - [c38]Selim Ozgen, Mübeccel Demirekler:
Rollout algorithms for the measurement-to-track association problem. SIU 2016: 1597-1600 - [c37]Hasan Ihsan Turhan, Mübeccel Demirekler:
Detection of the weak targets by using multi dimensional Hough transform based track before detect algorithm. SIU 2016: 1941-1944 - 2015
- [c36]Melih Gunay, Umut Orguner, Mübeccel Demirekler:
Chernoff fusion of Gaussian mixtures for distributed maneuvering target tracking. FUSION 2015: 870-877 - [c35]Caglar Uzun, Mübeccel Demirekler:
Stochastic dynamic programming based resource allocation for multi target tracking for electronically steered antenna radar. SIU 2015: 867-870 - [c34]Hasan Ihsan Turhan, Mübeccel Demirekler:
Air target classification based on Dempster-Shafer approach. SIU 2015: 1594-1597 - [c33]Özcan Dülger, Halit Oguztüzün, Mübeccel Demirekler:
Implementation of the sampling importance resampling particle filter algorithm in graphics processing unit. SIU 2015: 2195-2198 - 2014
- [j19]Yuksel Subasi, Mübeccel Demirekler:
Quantitative measure of observability for linear stochastic systems. Autom. 50(6): 1669-1674 (2014) - [c32]Hasan Ihsan Turhan, Mübeccel Demirekler, Melih Gunay:
A Novel Methodology for Target Classification Based on Dempster-Shafer Theory. Belief Functions 2014: 393-402 - [c31]Melih Gunay, Umut Orguner, Mübeccel Demirekler:
Approximate Chernoff fusion of Gaussian mixtures using sigma-points. FUSION 2014: 1-8 - [c30]Gözde Sahin, Mübeccel Demirekler:
A Multi-Dimensional Hough Transform Algorithm based on Unscented Transform as a Track-Before-Detect method. FUSION 2014: 1-8 - [c29]Hasan Ihsan Turhan, Mübeccel Demirekler, Melih Gunay:
A mass assignment algorithm for Dempster-Shafer approach. SIU 2014: 890-893 - [c28]Gözde Sahin, Mübeccel Demirekler:
Improved Multi-Dimensional Hough transform as a Track-Before-Detect method. SIU 2014: 959-962 - [c27]Mehmet Eyili, Mübeccel Demirekler:
Multitarget particle filter based track before detect algorithm for tracking of spawning targets. SIU 2014: 1071-1074 - 2013
- [c26]Mehmet Polat, Mübeccel Demirekler:
Tracking of subsequently fired projectiles. SIU 2013: 1-4 - 2012
- [j18]I. Yücel Özbek, Mark Hasegawa-Johnson, Mübeccel Demirekler:
On Improving Dynamic State Space Approaches to Articulatory Inversion With MAP-Based Parameter Estimation. IEEE Trans. Speech Audio Process. 20(1): 67-81 (2012) - [c25]Ozan Ozgun Bilgin, Murat Sabuncu, Mübeccel Demirekler:
A comparison of tracking filters with Doppler measurement. SIU 2012: 1-4 - 2011
- [j17]I. Yücel Özbek, Mark Hasegawa-Johnson, Mübeccel Demirekler:
Estimation of Articulatory Trajectories Based on Gaussian Mixture Model (GMM) With Audio-Visual Information Fusion and Dynamic Kalman Smoothing. IEEE Trans. Speech Audio Process. 19(5): 1180-1195 (2011) - 2010
- [j16]Mehmet Haydar Karcí, Mübeccel Demirekler:
Minimization of Monotonically Levelable Higher Order MRF Energies via Graph Cuts. IEEE Trans. Image Process. 19(11): 2849-2860 (2010) - [c24]I. Yücel Özbek, Mübeccel Demirekler:
ML vs. Map parameter estimation of linear dynamic systems for acoustic-to-articulatory inversion: A comparative study. EUSIPCO 2010: 805-809
2000 – 2009
- 2009
- [j15]Emre Özkan, I. Yücel Özbek, Mübeccel Demirekler:
Dynamic Speech Spectrum Representation and Tracking Variable Number of Vocal Tract Resonance Frequencies With Time-Varying Dirichlet Process Mixture Models. IEEE Trans. Speech Audio Process. 17(8): 1518-1532 (2009) - [c23]I. Yücel Özbek, Mark Hasegawa-Johnson, Mübeccel Demirekler:
Formant trajectories for acoustic-to-articulatory inversion. INTERSPEECH 2009: 2807-2810 - 2008
- [j14]Umut Orguner, Mübeccel Demirekler:
Risk-sensitive filtering for jump Markov linear systems. Autom. 44(1): 109-118 (2008) - [j13]Umut Orguner, Mübeccel Demirekler:
Maximum Likelihood Estimation of Transition Probabilities of Jump Markov Linear Systems. IEEE Trans. Signal Process. 56(10-2): 5093-5108 (2008) - [c22]I. Yücel Özbek, Mübeccel Demirekler:
Vocal tract resonances tracking based on voiced and unvoiced speech classification using dynamic programming and fixed interval kalman smoother. ICASSP 2008: 4217-4220 - 2007
- [j12]Özgül Salor, Bryan L. Pellom, Tolga Çiloglu, Mübeccel Demirekler:
Turkish speech corpora and recognition tools developed by porting SONIC: Towards multilingual speech recognition. Comput. Speech Lang. 21(4): 580-593 (2007) - [j11]Umut Orguner, Mübeccel Demirekler:
Analysis of single Gaussian approximation of Gaussian mixtures in Bayesian filtering applied to mixed multiple-model estimation. Int. J. Control 80(6): 952-967 (2007) - 2006
- [j10]Umut Orguner, Mübeccel Demirekler:
An online sequential algorithm for the estimation of transition probabilities for jump Markov linear systems. Autom. 42(10): 1735-1744 (2006) - [j9]Özgül Salor, Mübeccel Demirekler:
Dynamic programming approach to voice transformation. Speech Commun. 48(10): 1262-1272 (2006) - [c21]I. Yücel Özbek, Mübeccel Demirekler:
Tracking of visible vocal tract resonances (VVTR) based on kalman filtering. INTERSPEECH 2006 - 2005
- [c20]Özgül Salor, Mübeccel Demirekler:
A dynamic programming approach to context-free voice transformation. EUSIPCO 2005: 1-4 - [c19]Özgül Salor, Mübeccel Demirekler:
Voice transformation using principle component analysis based LSF quantization and dynamic programming approach. INTERSPEECH 2005: 1889-1892 - 2004
- [c18]Ali Erkin Arslan, Mübeccel Demirekler:
Visual Tracking With Group Motion Approach. CVPR Workshops 2004: 131 - [c17]Özlem Öztürk, Özgül Salor, Tolga Çiloglu, Mübeccel Demirekler:
Duration Modeling For Turkish Text-to-Speech Synthesis System. LREC 2004 - 2003
- [j8]Hakan Altinçay, Mübeccel Demirekler:
Undesirable effects of output normalization in multiple classifier systems. Pattern Recognit. Lett. 24(9-10): 1163-1170 (2003) - [j7]Hakan Altinçay, Mübeccel Demirekler:
Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence. Speech Commun. 41(4): 531-547 (2003) - [c16]Onur Cilingir, Mübeccel Demirekler:
A new decoder design for large vocabulary turkish speech recognition. INTERSPEECH 2003: 1185-1188 - [c15]Özgül Salor, Bryan L. Pellom, Mübeccel Demirekler:
Implementation and evaluation of a text-to-speech synthesis system for turkish. INTERSPEECH 2003: 1573-1576 - [c14]Özgül Salor, Mübeccel Demirekler, Bryan L. Pellom:
A system for voice conversion based on adaptive filtering and line spectral frequency distance optimization for text-to-speech synthesis. INTERSPEECH 2003: 2417-2420 - 2002
- [j6]Mübeccel Demirekler, Hakan Altinçay:
Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets. Pattern Recognit. 35(11): 2365-2379 (2002) - [c13]Hakan Altinçay, Mübeccel Demirekler:
Why Does Output Normalization Create Problems in Multiple Classifier Systems? ICPR (2) 2002: 775-778 - [c12]Özgül Salor, Bryan L. Pellom, Tolga Çiloglu, Kadri Hacioglu, Mübeccel Demirekler:
On developing new text and audio corpora and speech recognition tools for the turkish language. INTERSPEECH 2002: 349-352 - [c11]Hakan Altinçay, Mübeccel Demirekler:
Post-processing of Classifier Outputs in Multiple Classifier Systems. Multiple Classifier Systems 2002: 159-168 - 2001
- [j5]Afsar Saranli, Mübeccel Demirekler:
Rank-Based Multiple Classifier Decision Combination: A Theoretical Study. J. Adv. Comput. Intell. Intell. Informatics 5(1): 37-43 (2001) - [j4]Afsar Saranli, Mübeccel Demirekler:
A statistical unified framework for rank-based multiple classifier decision combination. Pattern Recognit. 34(4): 865-884 (2001) - [j3]Afsar Saranli, Mübeccel Demirekler:
On output independence and complementariness in rank-based multiple classifier decision systems. Pattern Recognit. 34(12): 2319-2330 (2001) - [c10]Hakan Altinçay, Mübeccel Demirekler:
Comparison of different objective functions for optimal linear combination of classifiers for speaker identification. ICASSP 2001: 401-404 - 2000
- [j2]Hakan Altinçay, Mübeccel Demirekler:
An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification. Speech Commun. 30(4): 255-272 (2000) - [c9]Mübeccel Demirekler, Fahri Karahan, Tolga Çiloglu:
Fusing length and voicing information, and HMM decision using a Bayesian causal tree against insufficient training data1. EUSIPCO 2000: 1-4 - [c8]Hakan Altinçay, Mübeccel Demirekler:
A novel rank-based classifier combination scheme for speaker identification. ICASSP 2000: 1209-1212 - [c7]Afsar Saranli, Mübeccel Demirekler:
A Unified View of Rank-Based Decision Combination. ICPR 2000: 2479-2482 - [c6]Mübeccel Demirekler, Fahri Karahan, Tolga Çiloglu:
Fusing Length and Voicing Information, and HMM Decision Using a Bayesian Causal Tree against Insufficient Training Data. ICPR 2000: 3106-3109
1990 – 1999
- 1999
- [c5]Mübeccel Demirekler, Ali Haydar:
Feature selection using genetics-based algorithm and its application to speaker identification. ICASSP 1999: 329-332 - [c4]Ali Erdem Ertan, Emre B. Aksu, Hakki Gökhan Ilk, Mehmet Haydar Karcí, Onder Karpat, Taner Kolcak, Levent Sendur, Mübeccel Demirekler, Ahmet Enis Çetin:
Implementation of an enhanced fixed point variable bit-rate MELP vocoder on TMS320C549. ICASSP 1999: 2295-2298 - [c3]Hakan Altinçay, Mübeccel Demirekler:
On the use of supra model information from multiple classifiers for robust speaker identification. EUROSPEECH 1999: 971-974 - [c2]Hakan Altinçay, Mübeccel Demirekler:
Use of model confusion learning for speaker identification A rule-based approach. NSIP 1999: 321-325 - 1997
- [c1]Mübeccel Demirekler, Afsar Saranli:
A study on improving decisions in closed set speaker identification. ICASSP 1997: 1127-1130 - 1995
- [j1]Mübeccel Demirekler:
On the first order equalization of hidden Markov models. IEEE Trans. Signal Process. 43(6): 1522-1524 (1995)
Coauthor Index
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