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ORCIDCésar A. Uribe
Cesar A. Uribe
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- affiliation: University of Illinois at Urbana-Champaign, Urbana, IL, USA
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2020 – today
- 2024
[i47]Tam Nguyen, César A. Uribe, Tan M. Nguyen, Richard G. Baraniuk:
PIDformer: Transformer Meets Control Theory. CoRR abs/2402.15989 (2024)- [i46]Ivan Lau, Shiqian Ma, César A. Uribe:
Decentralized and Equitable Optimal Transport. CoRR abs/2403.04259 (2024) - [i45]Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe:
A Moreau Envelope Approach for LQR Meta-Policy Estimation. CoRR abs/2403.17364 (2024) - 2023
- [j17]Junhyung Lyle Kim
, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis:
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. IEEE Control. Syst. Lett. 7: 199-204 (2023) - [j16]Mohammad Taha Toghani, Soomin Lee, César A. Uribe:
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization. IEEE Control. Syst. Lett. 7: 361-366 (2023) - [c47]Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe:
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. ACSSC 2023: 789-793 - [c46]Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, César A. Uribe:
On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. ACC 2023: 2313-2318 - [c45]Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe:
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CDC 2023: 4176-4181 - [c44]Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe:
On the Performance of Gradient Tracking with Local Updates. CDC 2023: 4309-4313 - [i44]Sebin Gracy, Yuan Wang, Philip E. Pare, César A. Uribe:
Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network. CoRR abs/2303.08859 (2023) - [i43]Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, Cesar A. Uribe:
Towards Understanding the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. CoRR abs/2303.16457 (2023) - [i42]Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe:
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CoRR abs/2305.12216 (2023) - [i41]Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis:
Adaptive Federated Learning with Auto-Tuned Clients. CoRR abs/2306.11201 (2023) - [i40]Sebin Gracy, Brian D. O. Anderson, Mengbin Ye, Cesar A. Uribe:
Competitive Networked Bivirus SIS spread over Hypergraphs. CoRR abs/2309.14230 (2023) - [i39]Sebin Gracy, Ji Liu, Tamer Basar, Cesar A. Uribe:
A Discrete-time Networked Competitive Bivirus SIS Model. CoRR abs/2310.13853 (2023) - [i38]Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe:
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. CoRR abs/2311.16353 (2023) - 2022
- [j15]Ferran Arqué, César A. Uribe, Carlos Ocampo-Martinez:
Approximate Wasserstein attraction flows for dynamic mass transport over networks. Autom. 143: 110432 (2022) - [j14]Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov:
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. EURO J. Comput. Optim. 10: 100045 (2022) - [j13]Mohammad Taha Toghani, César A. Uribe:
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks. Eur. J. Control 68: 100682 (2022) - [j12]César A. Uribe, Alex Olshevsky, Angelia Nedic:
Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning. IEEE Trans. Control. Netw. Syst. 9(3): 1128-1140 (2022) - [j11]César A. Uribe, Alex Olshevsky, Angelia Nedic:
Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets. IEEE Trans. Control. Netw. Syst. 9(3): 1141-1153 (2022) - [j10]Mohammad Taha Toghani, César A. Uribe:
Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs. IEEE Trans. Control. Netw. Syst. 9(3): 1215-1226 (2022) - [j9]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Robust Distributed Optimization With Randomly Corrupted Gradients. IEEE Trans. Signal Process. 70: 3484-3498 (2022) - [c43]Mohammad Taha Toghani, César A. Uribe:
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. Allerton 2022: 1-8 - [c42]Mohammad Taha Toghani, César A. Uribe:
Scalable Average Consensus with Compressed Communications. ACC 2022: 3412-3417 - [c41]Tiancheng Qin, S. Rasoul Etesami, César A. Uribe:
Decentralized Federated Learning for Over-Parameterized Models. CDC 2022: 5200-5205 - [c40]Tu Anh-Nguyen, César A. Uribe:
On Distributed Exact Sparse Linear Regression over Networks. CDC 2022: 6491-6496 - [c39]Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe:
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. ECC 2022: 429-434 - [i37]Tiancheng Qin, S. Rasoul Etesami, César A. Uribe:
Faster Convergence of Local SGD for Over-Parameterized Models. CoRR abs/2201.12719 (2022) - [i36]Tiancheng Qin, S. Rasoul Etesami, César A. Uribe:
The Role of Local Steps in Local SGD. CoRR abs/2203.06798 (2022) - [i35]Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis:
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. CoRR abs/2203.11579 (2022) - [i34]Tu Anh-Nguyen, César A. Uribe:
On Distributed Exact Sparse Linear Regression over Networks. CoRR abs/2204.00529 (2022) - [i33]Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe:
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. CoRR abs/2204.07702 (2022) - [i32]Mohammad Taha Toghani, César A. Uribe:
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks. CoRR abs/2204.08160 (2022) - [i31]Nishant Mehrotra, Ashutosh Sabharwal, César A. Uribe:
Consensus ADMM-Based Distributed Simultaneous Imaging & Communication. CoRR abs/2206.09793 (2022) - [i30]Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, Cesar A. Uribe:
On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. CoRR abs/2209.11826 (2022) - [i29]Mohammad Taha Toghani, César A. Uribe:
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. CoRR abs/2210.01161 (2022) - [i28]Mohammad Taha Toghani, Soomin Lee, César A. Uribe:
PersA-FL: Personalized Asynchronous Federated Learning. CoRR abs/2210.01176 (2022) - [i27]Yuan Wang, Sebin Gracy, César A. Uribe, Hideaki Ishii, Karl Henrik Johansson:
A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics. CoRR abs/2210.04169 (2022) - [i26]Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe:
On the Performance of Gradient Tracking with Local Updates. CoRR abs/2210.04757 (2022) - [i25]Johanna Castellanos, Carlos Adrian Correa-Florez, Alejandro Garcés, Gabriel Ordóñez-Plata, César A. Uribe, Diego Patiño:
An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market. CoRR abs/2212.01910 (2022) - 2021
- [j8]Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano:
Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics. IEEE Control. Syst. Lett. 5(1): 301-306 (2021) - [j7]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A dual approach for optimal algorithms in distributed optimization over networks. Optim. Methods Softw. 36(1): 171-210 (2021) - [j6]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. IEEE Trans. Control. Netw. Syst. 8(1): 282-294 (2021) - [j5]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
A General Framework for Distributed Inference With Uncertain Models. IEEE Trans. Signal Inf. Process. over Networks 7: 392-405 (2021) - [c38]Mohammad Taha Toghani, César A. Uribe:
Communication-Efficient and Fault-Tolerant Social Learning. ACSCC 2021: 1037-1042 - [c37]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients. ACC 2021: 965-971 - [c36]Eduardo Mojica-Nava, David Yanguas-Rojas, César A. Uribe:
Robust Asynchronous and Network-Independent Cooperative Learning. ACC 2021: 1619-1624 - [c35]Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization. CDC 2021: 974-980 - [c34]Tiancheng Qin, S. Rasoul Etesami, César A. Uribe:
Communication-Efficient Decentralized Local SGD over Undirected Networks. CDC 2021: 3361-3366 - [c33]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Toward Active Sequential Hypothesis Testing with Uncertain Models. CDC 2021: 3709-3716 - [c32]Ferran Arqué, César A. Uribe, Carlos Ocampo-Martinez:
Application of Wasserstein Attraction Flows for Optimal Transport in Network Systems. CDC 2021: 4058-4063 - [c31]Miguel F. Arevalo-Castiblanco, César A. Uribe, Eduardo Mojica-Nava:
Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization. CDC 2021: 4071-4076 - [c30]Daniel Esteban Ochoa, Jorge I. Poveda, César A. Uribe:
Computation-aware distributed optimization over networks: a hybrid dynamical systems approach. CAADCPS@CPSIoTWeek 2021: 18-19 - [i24]Mohammad Taha Toghani, Cesar A. Uribe:
Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs. CoRR abs/2102.07767 (2021) - [i23]Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Robust Distributed Optimization With Randomly Corrupted Gradients. CoRR abs/2106.14956 (2021) - [i22]Mohammad Taha Toghani, César A. Uribe:
Scalable Average Consensus with Compressed Communications. CoRR abs/2109.06996 (2021) - 2020
- [j4]Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione:
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76(2): 347-380 (2020) - [j3]Alexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic:
Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs. IEEE Trans. Control. Netw. Syst. 7(2): 829-841 (2020) - [j2]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning With Uncertain Models. IEEE Trans. Signal Process. 68: 4178-4193 (2020) - [c29]James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Gaussian Uncertain Models. ACC 2020: 4484-4490 - [c28]Nazarii Tupitsa, Pavel E. Dvurechensky, Alexander V. Gasnikov, César A. Uribe:
Multimarginal Optimal Transport by Accelerated Alternating Minimization. CDC 2020: 6132-6137 - [c27]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Communication Constrained Learning with Uncertain Models. ICASSP 2020: 8609-8613 - [c26]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. ITA 2020: 1-37 - [i21]Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. CoRR abs/2001.00612 (2020) - [i20]César A. Uribe, Ali Jadbabaie:
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks. CoRR abs/2007.03562 (2020) - [i19]Eduardo Mojica-Nava, David Yanguas-Rojas, César A. Uribe:
Robust Asynchronous and Network-Independent Cooperative Learning. CoRR abs/2010.09993 (2020) - [i18]Tiancheng Qin, S. Rasoul Etesami, César A. Uribe:
Communication-efficient Decentralized Local SGD over Undirected Networks. CoRR abs/2011.03255 (2020) - [i17]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
A General Framework for Distributed Inference with Uncertain Models. CoRR abs/2011.10669 (2020)
2010 – 2019
- 2019
- [c25]Jingzhao Zhang, César A. Uribe, Aryan Mokhtari, Ali Jadbabaie:
Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE. ACC 2019: 3408-3413 - [c24]César A. Uribe, Ali Jadbabaie:
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs. ACC 2019: 3532-3537 - [c23]César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CDC 2019: 3635-3640 - [c22]Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano:
Hybrid Robust Optimal Resource Allocation with Momentum. CDC 2019: 3954-3959 - [c21]Darina Dvinskikh, Eduard Gorbunov, Alexander V. Gasnikov, Pavel E. Dvurechensky, César A. Uribe:
On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks. CDC 2019: 7435-7440 - [c20]César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Resilient Distributed Optimization Algorithms for Resource Allocation. CDC 2019: 8341-8346 - [c19]Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe:
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization. COLT 2019: 1374-1391 - [c18]Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford:
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. COLT 2019: 1392-1393 - [c17]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models. FUSION 2019: 1-8 - [c16]Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Cesar A. Uribe:
On the Complexity of Approximating Wasserstein Barycenters. ICML 2019: 3530-3540 - [c15]Fedor S. Stonyakin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander V. Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov:
Gradient Methods for Problems with Inexact Model of the Objective. MOTOR 2019: 97-114 - [i16]Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe:
On the Complexity of Approximating Wasserstein Barycenter. CoRR abs/1901.08686 (2019) - [i15]César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CoRR abs/1909.04255 (2019) - [i14]James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Uncertain Models. CoRR abs/1909.09228 (2019) - [i13]James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Non-Bayesian Social Learning with Gaussian Uncertain Models. CoRR abs/1910.11251 (2019) - [i12]Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe:
Generalized Self-concordant Hessian-barrier algorithms. CoRR abs/1911.01522 (2019) - 2018
- [c14]Cesar A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic:
Distributed Computation of Wasserstein Barycenters Over Networks. CDC 2018: 6544-6549 - [c13]Pavel E. Dvurechenskii, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedich:
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. NeurIPS 2018: 10783-10793 - [i11]César A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic:
Distributed Computation of Wasserstein Barycenters over Networks. CoRR abs/1803.02933 (2018) - [i10]Pavel E. Dvurechensky, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedic:
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. CoRR abs/1806.03915 (2018) - [i9]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. CoRR abs/1809.00710 (2018) - [i8]Angelia Nedic, Alex Olshevsky, César A. Uribe:
Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints. CoRR abs/1810.02456 (2018) - [i7]César A. Uribe, Ali Jadbabaie:
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs. CoRR abs/1812.09819 (2018) - 2017
- [j1]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Fast Convergence Rates for Distributed Non-Bayesian Learning. IEEE Trans. Autom. Control. 62(11): 5538-5553 (2017) - [c12]Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe:
Geometrically convergent distributed optimization with uncoordinated step-sizes. ACC 2017: 3950-3955 - [i6]Angelia Nedic, Alex Olshevsky, César A. Uribe:
Distributed Learning for Cooperative Inference. CoRR abs/1704.02718 (2017) - [i5]César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic:
Optimal Algorithms for Distributed Optimization. CoRR abs/1712.00232 (2017) - 2016
- [c11]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed Gaussian learning over time-varying directed graphs. ACSSC 2016: 1710-1714 - [c10]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Network independent rates in distributed learning. ACC 2016: 1072-1077 - [c9]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed learning with infinitely many hypotheses. CDC 2016: 6321-6326 - [c8]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results. CDC 2016: 6795-6801 - [i4]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed Learning with Infinitely Many Hypotheses. CoRR abs/1605.02105 (2016) - [i3]Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe:
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes. CoRR abs/1609.05877 (2016) - [i2]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
A Tutorial on Distributed (Non-Bayesian) Learning: Problem, Algorithms and Results. CoRR abs/1609.07537 (2016) - [i1]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Distributed Gaussian Learning over Time-varying Directed Graphs. CoRR abs/1612.01600 (2016) - 2015
- [c7]Angelia Nedic, Alex Olshevsky, Cesar A. Uribe:
Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs. ACC 2015: 5884-5889 - 2014
- [c6]Cesar A. Uribe, Tamás Keviczky, Jan H. van Schuppen:
Computing optimal control laws for finite stochastic systems with non-classical information patterns. ACC 2014: 5742-5747 - 2013
- [c5]Cesar A. Uribe, Jan H. van Schuppen:
Analysis of signaling in a finite stochastic system motivated by decentralized control. CDC 2013: 5884-5889 - 2012
- [c4]Carol Bedoya, Cesar A. Uribe, Claudia Isaza:
Unsupervised Feature Selection Based on Fuzzy Clustering for Fault Detection of the Tennessee Eastman Process. IBERAMIA 2012: 350-360 - 2011
- [c3]Cesar A. Uribe, Claudia Isaza, Jose F. Florez-Arango:
Qualitative-fuzzy decision support system for monitoring patients with cardiovascular risk. FSKD 2011: 1621-1625 - 2010
- [c2]Cesar A. Uribe, Claudia Isaza, Oscar Gualdron, Cristian Duran, Adrian Carvajal:
A Wrapper Approach Based on Clustering for Sensors Selection of Industrial Monitoring Systems. BWCCA 2010: 482-487
2000 – 2009
- 2009
- [c1]Cesar A. Uribe, Claudia Isaza:
Integration Methodology of Face Detection and Speech Recognition. IPCV 2009: 399-405
Coauthor Index
Pavel E. Dvurechensky
aka: Pavel E. Dvurechenskii
aka: Pavel E. Dvurechenskii
Angelia Nedic
aka: Angelia Nedich
aka: Angelia Nedich
Alexander Olshevsky
aka: Alex Olshevsky
aka: Alex Olshevsky
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