Home People Chiuso Publications
Journal Papers     [ all BibTeX ]
2017
S. Dey, A. Chiuso, L. Schenato. Feedback Control over lossy SNR-limited channels: linear encoder-decoder-controller design. IEEE Transactions on Automatic Control, 2017    [url] [BibTeX]  
G. Prando, G. Pillonetto, A. Chiuso. Maximum Entropy Vector Kernels for MIMO system identification. Automatica (accepted as regular paper), 2017    [url] [BibTeX]  
M. Zorzi, A. Chiuso. Sparse plus Low rank Network Identification: A Nonparamteric Approach. Automatica, vol. 53(2), 2017   [BibTeX]  
2016
T. Chen, T. Ardeshiri, F.P. Carli, A. Chiuso, L. Ljung, G. Pillonetto. Maximum entropy properties of discrete-time first-order stable spline kernel. Automatica, 2016   [BibTeX]  
A. Chiuso. Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future. Annual Reviews in Control - in press, 2016    [url] [BibTeX]  
G. Pillonetto, T. Chen, A. Chiuso, G. De nicolao, L. Ljung. Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. Automatica, 2016    [url] [BibTeX]  
2015
S. Bonettini, A. Chiuso, M. Prato. A SCALED GRADIENT PROJECTION METHOD FOR BAYESIAN LEARNING IN DYNAMICAL SYSTEMS. SIAM Journal on Scientific Computing (accepted), 2015   [BibTeX]  
G. Pillonetto, A. Chiuso. Tuning complexity in regularized kernel-based regression and linear system identification: the robustness of the marginal likelihood estimator. Automatica (accepted), 2015   [BibTeX]  
2014
A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto. Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso. Journal of Machine Learning Research, (15), pp. 1-36, 2014   [BibTeX]  
A. Chiuso, N. Laurenti, L. Schenato, A. Zanella. LQG-like control of scalar systems over communication channels: the role of data losses, delays and SNR limitations. Automatica, vol. 50(12), pp. 3155–3163, 2014    [url] [pdf] [BibTeX]  
S. Dey, A. Chiuso, L. Schenato. Remote estimation with noisy measurements subject to packet loss and quantization noise. IEEE Transactions on Control of Network Systems, vol. 1(3), pp. 204-217, 2014    [url] [pdf] [BibTeX]  
T. Chen, M. Andersen, L. Ljung, A. Chiuso, G. Pillonetto. System identification via sparse multiple kernel-based regularization using sequential convex optimization techniques. IEEE Transactions on Automatic Control, 2014   [BibTeX]  
2012
A. Chiuso, G. Pillonetto. A Bayesian approach to sparse dynamic network identification. Automatica, vol. 48(8), pp. 1553–-1565, 2012   [pdf] [BibTeX]  
2011
G. Pillonetto, M.H. Quang, A. Chiuso. A new kernel-based approach for nonlinear system identification. IEEE Transactions on Automatic Control [accepted], 2011   [BibTeX]  
A. Chiuso, F. Fagnani, L. Schenato, S. Zampieri. Gossip algorithms for simultaneous distributed estimation and classification in sensor networks. IEEE Journal of Selected Topics in Signal Processing, vol. 5(4), pp. 691 - 706, 2011   [pdf] [BibTeX]  
A. Chiuso, L. Schenato. Information fusion strategies and performance bounds in packet-drop networks. Automatica, vol. 47(7), pp. 1304-1316, 2011   [pdf] [BibTeX]  
R. Carli, A. Chiuso, L. Schenato, S. Zampieri. Optimal Synchronization for Networks of Noisy Double Integrators. IEEE Transactions on Automatic Control, vol. 56(5), pp. 1146-1152, 2011   [pdf] [BibTeX]  
G. Pillonetto, A. Chiuso, G. De nicolao. Prediction error identification of linear systems: a nonparametric Gaussian regression approach. Automatica, (47), pp. 291-305, 2011   [BibTeX]  
2010
A. Chiuso, R. Muradore, E. Marchetti. Dynamic Calibration of Adaptive Optics Systems: A System Identification Approach. IEEE Transactions on Control Systems Technology, vol. 3(18), pp. 705 -- 713, 2010   [BibTeX]  
A. Chiuso. On the asymptotic properties of closed loop CCA-type Subspace Algorithms: equivalence results and choice of the future horizon. IEEE Transactions on Automatic Control, vol. 3(55), pp. 634 - 649, 2010   [BibTeX]  
2009
G. Pillonetto, A. Chiuso. Fast computation of smoothing splines subject to equality constraints. Automatica, vol. 45pp. 2842--2849, 2009   [pdf] [BibTeX]  
2008
R. Carli, A. Chiuso, L. Schenato, S. Zampieri. Distributed Kalman filtering based on consensus strategies. IEEE Journal on Selected Areas in Communications, vol. 26pp. 622--633, 2008   [pdf] [BibTeX]  
A. Chiuso, G. Picci, S. Soatto. Wide-sense Estimation on the Special Orthogonal Group. Communications in Information and Systems, vol. 8pp. 185--200, 2008   [BibTeX]  
2007
A. Bissacco, A. Chiuso, S. Soatto. Classification and Recognition of Dynamical Models: The Role of Phase Independent Components Kernels and Optimal Transport. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29pp. 1958--1972, 2007   [BibTeX]  
A. Chiuso. On the relation between CCA and predictor-based subspace identification. IEEE Transactions on Automatic Control, vol. 52pp. 1795--1812, 2007   [BibTeX]  
A. Chiuso. The Role of Vector Autoregressive Modeling in Predictor Based Subspace Identification. Automatica, vol. 43pp. 1034--1048, 2007   [BibTeX]  
2006
A. Chiuso. Asymptotic Variance of Closed Loop Subspace IDentification Methods. IEEE Transactions on Automatic Control, vol. 51pp. 1299--1314, 2006   [BibTeX]  
2005
A. Chiuso, G. Picci. Consistency Analysis of some Cloded-Loop Subspace Identification Methods. Automatica, vol. 41(3)pp. 377--391, 2005   [BibTeX]  
2004
A. Chiuso, G. Picci. Asymptotic Variance of Subspace Estimates. Journal of Econometrics, vol. 118(1-2)pp. 257--291, 2004   [BibTeX]  
A. Chiuso, G. Picci. Asymptotic Variance of Subspace methods by data orthogonalization and model decoupling: a comparative study.. Automatica, vol. 40(10)pp. 1706--1717, 2004   [BibTeX]  
A. Chiuso, G. Picci. Numerical conditioning and asymptotic variance of subspace estimates. Automatica, vol. 40(4)pp. 677--683, 2004   [BibTeX]  
A. Chiuso, G. Picci. On the Ill-conditioning of subspace identification with inputs. Automatica, vol. 40(4)pp. 575--589, 2004   [BibTeX]  
A. Chiuso, G. Picci. Subspace identification by data orthogonal and model decoupling. Automatica, vol. 40(10)pp. 1689--1703, 2004   [BibTeX]  
2003
G. Doretto, A. Chiuso, Y. Wu, S. Soatto. DynamicTextures. International Journal of Computer Vision, vol. 51(2)pp. 91--109, 2003   [BibTeX]  
2002
A. Chiuso, P. Favaro, H. Jin, S. Soatto. Structure from Motion Causally Integrated over Time. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24(4)pp. 509--522, 2002   [BibTeX]  
2001
A. Chiuso, G. Picci. Some Algorithmic aspects of Subspace Identification with Inputs. International Journal of Applied Mathematics and Computer Science, vol. 11(1)pp. 55--75, 2001   [BibTeX]  
2000
A. Chiuso, R. Brockett, S. Soatto. Optimal Structure From Motion: Local Ambiguities and Global Estimates. International Journal of Computer Vision, vol. 39(3)pp. 195--228, 2000   [BibTeX]  
Conferences, Book Chapters and Tech Reports     [ all BibTeX ]
2016
G. Prando, D. Romeres, G. Pillonetto, A. Chiuso. Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets. Proc. of ECC 2016, 2016   [BibTeX]  
T. Chen, G. Pillonetto, A. Chiuso, L. Ljung. DC kernel - a stable generalized first order spline kernel. Proc. of CDC 2016 - accepted, 2016   [BibTeX]  
S. Soatto, A. Chiuso. Modeling Visual Representations:Defining Properties and Deep Approximations. International Conference on Learning Representation (ICLR), 2016   [BibTeX]  
D. Romeres, G. Prando, G. Pillonetto, A. Chiuso. On-line Bayesian System Identification. Proc. of ECC 2016, 2016   [BibTeX]  
G. Prando, D. Romeres, A. Chiuso. On-line Identification of Time-Varying Systems: a Bayesian approach. IEEE CDC 2016 - accepted, 2016   [BibTeX]  
D. Romeres, M. Zorzi, R. Camoriano, A. Chiuso. Online semi-parametric learning for inverse dynamics modeling. 55th IEEE Conference on Decision and Control, 2016   [BibTeX]  
G. Rallo, S. Formentin, A. Chiuso, S. Savaresi. Virtual Reference Feedback Tuning with bayesian regularization. ECC 2016, 2016   [BibTeX]  
2015
M. Zorzi, A. Chiuso. A Bayesian Approach to Sparse plus Low rank Network Identification. IEEE CDC 2015, 2015   [BibTeX]  
D. Romeres, G. Pillonetto, A. Chiuso. Identification of stable models via nonparametric prediction error methods. Proc. of the European Control Conference, 2015    [ abstract ] [BibTeX]  
S. Dey, A. Chiuso, L. Schenato. Linear Encoder-Decoder-Controller Design over Channels with Packet Loss and Quantization Noise. European Control Conference ECC15, 2015   [pdf] [BibTeX]  
G. Prando, A. Chiuso. Model reduction for linear Bayesian System Identification. IEEE CDC 2015, 2015   [BibTeX]  
G. Prando, G. Pillonetto, A. Chiuso. On the role of rank penalties in linear system identification. Prof. of SYSID 2015, 2015   [BibTeX]  
A. Chiuso. Regularization and Bayesian Learning in dynamical systems: past, present and future. Plenary Lecture, SYSID 2015, 2015   [BibTeX]  
K. Tsotsos, A. Chiuso, S. Soatto. Robust Inference for Visual-Inertial Sensor Fusion. ICRA 2015 (accepted), 2015   [BibTeX]  
T. Chen, G. Pillonetto, A. Chiuso, L. Ljung. Spectral analysis of the DC kernel for regularized system identification. IEEE CDC 2015, 2015   [BibTeX]  
G. Georgiadis, A. Chiuso, S. Soatto. Texture Representations for Image and Video Synthesis. Proc. of CVPR 2015, 2015   [BibTeX]  
S. Soatto, A. Chiuso. Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximation. International Conference on Learning Representation (ICLR), Workshop Track, 2015   [BibTeX]  
2014
T. Chen, M. Andersen, A. Chiuso, G. Pillonetto, L. Ljung. Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method. IEEE CDC 2014, 2014   [BibTeX]  
A. Chiuso, G. Pillonetto. Bayesian and nonparametric methods for system identification and model selection. Proc. of ECC 2014, 2014   [BibTeX]  
G. Prando, A. Chiuso, G. Pillonetto. Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties. Proc. IEEE CDC, 2014   [BibTeX]  
A. Chiuso, T. Chen, L. Ljung, G. Pillonetto. On the design of Multiple Kernels for nonparametric linear system identification. IEEE CDC 2014, 2014   [BibTeX]  
A. Chiuso. System Identification Techniques: Convexification, Regularization, Relaxation. Springer Encyclopedia of Systems and Control, 2014   [BibTeX]  
G. Pillonetto, A. Chiuso. Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator. Proc. of ECC 2014, 2014   [BibTeX]  
2013
V. Karasev, A. Chiuso, S. Soatto. Control recognition bounds for visual learning and exploration. Information Theory and Applications Workshop (ITA), 2013, 2013    [ abstract ] [BibTeX]  
F. Parise, L. Dal Col, A. Chiuso, N. Laurenti, L. Schenato, A. Zanella. Impact of a realistic transmission channel on the performance of control systems. 2013   [pdf] [BibTeX]  
A. Chiuso, N. Laurenti, L. Schenato, A. Zanella. LQG cheap control over SNR-limited lossy channels with delay. Conference on Decision and Control (CDC13), 2013   [pdf] [BibTeX]  
A. Chiuso, N. Laurenti, L. Schenato, A. Zanella. LQG cheap control subject to packet loss and SNR limitations. European Control Conference ECC13, 2013   [pdf] [BibTeX]  
T. Chen, A. Chiuso, G. Pillonetto, L. Ljung. Rank-1 kernels for regularized system identification. Proc. of IEEE Conf. on Dec. and Control (CDC2013), 2013   [BibTeX]  
A. Chiuso, T. Chen, L. Ljung, G. Pillonetto. Regularization strategies for nonparametric system identification. Proc. of IEEE Conf. on Dec. and Control (CDC2013), 2013   [BibTeX]  
S. Dey, A. Chiuso, L. Schenato. Remote estimation subject to packet loss and quantization noise. Conference on Decision and Control (CDC13), 2013   [pdf] [BibTeX]  
G. Georgiadis, A. Chiuso, S. Soatto. Texture Compression. Data Compression Conference, 2013   [BibTeX]  
2012
V. Karasev, A. Chiuso, S. Soatto. Controlled Recognition Bounds for Visual Learning and Exploration. Proc. of NIPS, 2012   [BibTeX]  
F.P. Carli, A. Chiuso, G. Pillonetto. Efficient algorithms for large scale linear system identification using stable spline estimators. Proc. of SYSID 2012, 2012   [BibTeX]  
G. Georgiadis, A. Ravichandran, S. Soatto, A. Chiuso. Encoding Scene Structures for Video Compression. Proc. of SPIE, 2012   [BibTeX]  
F.P. Carli, T. Chen, A. Chiuso, L. Ljung, G. Pillonetto. On the estimation of hyperparameters for Bayesian system identification with exponential kernels. 51st IEEE Conference on Decision and Control (CDC 2012), 2012   [BibTeX]  
A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto. On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE. Proc. of SYSID 2012, 2012   [BibTeX]  
A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto. On the MSE Properties of Empirical Bayes Methods for Sparse Estimation. Proc. of SYSID 2012, 2012   [BibTeX]  
T. Chen, L. Ljung, M. Andersen, A. Chiuso, F.P. Carli, G. Pillonetto. Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. 51st IEEE Conference on Decision and Control (CDC 2012), 2012   [BibTeX]  
2011
S. Soatto, A. Chiuso. Controlled Recognition Bounds for Scaling and Occlusion Channels. 2011 Data Compression Conference, 2011   [BibTeX]  
A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto. Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso. IEEE CDC 2011 (accepted), 2011   [pdf] [BibTeX]  
A. Chiuso, F. Fagnani, L. Schenato, S. Zampieri. Gossip algorithms for distributed ranking. Proc. of the American Control Conference (ACC11), 2011   [pdf] [BibTeX]  
2010
A. Chiuso, G. Pillonetto. Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors. Proc. of NIPS 2010, accepted, 2010   [BibTeX]  
A. Chiuso, G. Pillonetto. Nonparametric sparse estimators for identification of large scale linear systems. Proc. of 2010 IEEE CDC, 2010   [BibTeX]  
G. Pillonetto, A. Chiuso, G. De nicolao. Regularized estimation of sums of exponentials in spaces generated by stable spline kernels. ACC 2010, 2010   [BibTeX]  
A. Chiuso, F. Fagnani, L. Schenato, S. Zampieri. Simultaneous distributed estimation and classification in sensor networks. IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'10) (to appear), 2010   [pdf] [BibTeX]  
A. Chiuso, R. Muradore, E. Aller-Carpentier. Sparse Calibration of an Extreme Adaptive Optics System. IEEE CDC 2010 [accepted], 2010   [BibTeX]  
2009
G. Pillonetto, A. Chiuso. A Bayesian learning approach to linear system identification with missing data. Proceedings of the 48th IEEE International Conference on Decision and Control 2009 Shangai China, 2009   [BibTeX]  
G. Pillonetto, A. Chiuso. Gaussian Processes for Wiener-Hammerstein System Identification. Proceedings of the 15th IFAC Symposium on System Identification SYSID 2009 Saint-Malo France July 6-8 2009, 2009   [BibTeX]  
H. Quang, G. Pillonetto, A. Chiuso. Nonlinear System Identification Via Gaussian Regression and Mixtures of Kernels. Proceedings of the 15th IFAC Symposium on System Identification SYSID 2009 Saint-Malo France July 6-8 2009, 2009   [BibTeX]  
A. Chiuso, L. Schenato. Performance bounds for information fusion strategies in packet-drop networks. European Control Conference (ECC 09), 2009   [pdf] [BibTeX]  
2008
A. Chiuso. A note on estimation using quantized data. 2008   [BibTeX]  
R. Carli, A. Chiuso, L. Schenato, S. Zampieri. A PI Consensus Controller for Networked Clocks Synchronization. IFAC World Congress on Automatic Control (IFAC 08), 2008   [pdf] [BibTeX]  
A. Chiuso, R. Muradore, E. Marchetti. Dynamic Calibration of Adaptive Optics Systems: A System Identification Approach. IEEE Conf. on Dec. and Control, 2008   [BibTeX]  
A. Chiuso, L. Schenato. Information fusion strategies from distributed filters in packet-drop networks. Proceedings of IEEE Conference on Decision and Control 2008 (CDC08), pp. 1079--1084, 2008   [pdf] [BibTeX]  
G. Pillonetto, A. Chiuso, G. De nicolao. Predictor estimation via Gaussian regression. Proceedings of The 47th Ieee International Conference on Decision and Control 2008, 2008   [BibTeX]  
A. Agnoli, A. Chiuso, P. D'errico, A. Pegoraro, L. Schenato. Sensor fusion and estimation strategies for data traffic reduction in rooted wireless sensor networks. 3rd International Symposium on Communications Control and Signal Processing (ISCCSP08)., pp. 677--682, 2008   [pdf] [BibTeX]  
A. Chiuso, G. Picci. Some Identification techniques in Computer Vision. IEEE Conf. on Dec. and Control, 2008   [BibTeX]  
A. Chiuso, G. Pillonetto, G. De nicolao. Subspace identification using predictor estimation via Gaussian regression. Proceedings of The 47th Ieee International Conference on Decision and Control 2008, 2008   [BibTeX]  
E. Toffoli, G. Baldan, G. Albertin, L. Schenato, A. Chiuso, A. Beghi. Thermodynamic Identification of Buildings using Wireless Sensor Networks. IFAC World Congress on Automatic Control (IFAC 08), 2008   [pdf] [BibTeX]  
2007
A. Chiuso, R. Muradore, E. Fedrigo. Adaptive Optics Systems: a challenge for closed-loop subspace identification. Proc. of ACC 2007, 2007   [BibTeX]  
R. Vidal, S. Soatto, A. Chiuso. Applications of Hybrid System Identification in Computer Vision. Proc. of European Control Conference, 2007   [BibTeX]  
R. Carli, A. Chiuso, L. Schenato, S. Zampieri. Consensus algorithm design for distributed estimation. Workshop on Networked Control Systems Tolerant to Foults (NeCST 07), 2007   [pdf] [BibTeX]  
R. Carli, A. Chiuso, L. Schenato, S. Zampieri. Distributed Kalman filtering using consensus strategies. IEEE Conference on Decision and Control (CDC 07), 2007   [pdf] [BibTeX]  
A. Chiuso. Some insights on the choice of the future horizon in CCA-type subspace algorithms. Proc. of ACC 2007, 2007   [BibTeX]  
2006
A. Chiuso. Asymptotic Equivalence of Certain Closed-Loop Subspace Identification Methods. 2006   [BibTeX]  
A. Chiuso, G. Picci. Estimating the Asymptotic Variance of Closed-Loop Subspace Estimators. 2006   [BibTeX]  
A. Masiero, A. Chiuso. Non Linear Temporal Textures Synthesis: A Monte Carlo Approach. Computer Vision - ECCV 2006, vol. IIpp. 283--294, 2006   [BibTeX]  
A. Chiuso. The Role of Vector Autoregressive Modeling in Predictor Based Subspace Identification. Proc. of CDC 2006, 2006   [BibTeX]  
2005
R. Frezza, A. Chiuso. Learning and exploiting invariants for multi-target tracking and data association. 2005   [BibTeX]  
A. Chiuso. On the relation between CCA and predictor-based subspace identitifcation. 2005   [BibTeX]  
A. Chiuso, G. Picci. Prediction error vs. Subspace methods in open and closed-loop identification. 2005   [BibTeX]  
A. Chiuso, A. Ferrante, G. Picci. Reciprocal Realization and Modeling of Textured Images. Proceedings of the 44th IEEE Conference on Decision and Control and the European Control Conference 2005 - CDC-ECC05, pp. 6059-6064, 2005   [BibTeX]  
2004
A. Chiuso. Asymptotic Variance of a CertainClosed-Loop Subspace Identification Method. 2004   [BibTeX]  
A. Chiuso, G. Picci. Consistency Analysis ofCertain Closed-Loop Subspace Identification Methods. 2004   [BibTeX]  
G. Gennari, A. Chiuso, F. Cuzzolin, R. Frezza. Integration of shape constraints in data association filters. 2004   [BibTeX]  
Saisan, A. Bissacco, A. Chiuso. Modeling and synthesis of facial motion driven by speech. ECCV 2004, pp. 453--467, 2004   [BibTeX]  
2003
A. Chiuso, G. Picci. Asymptotic Variance of Subspace Methods by data Orthogonalization and Model Decoupling. pp. 1784--1789, 2003   [BibTeX]  
A. Chiuso, G. Picci. Canonical Correlation Analysis of Linear Stochastic Systems with Inputs. (Mittag-Leffler Technical Report No. 45, 2002/2003, Spring ISSN 1103-467X, ISN IML-R-45-02/03--SE+spring), 2003   [BibTeX]  
A. Chiuso, G. Picci. Constructing the State of of Random Processes with Feedback. pp. 881--886, 2003   [BibTeX]  
A. Chiuso, G. Picci. Geometry of Oblique Splitting Minimality and Hankel Operators. Directions in Mathematical Systems Theory and Optimization. vol. 286pp. 85--124, 2003   [BibTeX]  
R. Vidal, A. Chiuso, S. Soatto, S. Sastry. Observability Linear Hybrid Systems. Hybrid Systems: Computation and Control 6th International Workshop HSCC 2003, vol. -pp. 526--539, 2003   [BibTeX]  
S. Soatto, A. Chiuso. Snippets of System Identification in Computer Vision. pp. 248--258, 2003   [BibTeX]  
2002
G. Gennari, A. Chiuso, F. Cuzzolin, R. Frezza. Integrating dynamic and probabilistic shape information for data association and tracking. Proc. of IEEE Conf. on Dec. and Control, pp. 1--6, 2002   [BibTeX]  
R. Vidal, A. Chiuso, S. Soatto. Observability and Identifiability of Jump Linear Systems. IEEE Conf. on Dec. and Control, 2002   [BibTeX]  
2001
A. Chiuso, G. Picci. Asymptotic Variance of Subspace Estimates. pp. 1--6, 2001   [BibTeX]  
S. Soatto, A. Chiuso. Dynamic data factorization. (UCLA Technical Report CSD-2001/01), 2001   [BibTeX]  
A. Bissacco, A. Chiuso, Y. Ma, S. Soatto. Recognition of human gaits. pp. 1--6, 2001   [BibTeX]  
2000
A. Chiuso, S. Soatto. 3-D Motion and Structure Causally Integrated Over Time: Analysis. pp. 1--15, 2000   [BibTeX]  
A. Chiuso, H. Jin, P. Favaro, S. Soatto. 3-D Motion and Structure from 2-D Motion Causally Integrated Over Time: Implementation. Computer Vision - ECCV 2000, pp. 734--750, 2000   [BibTeX]  
A. Chiuso, G. Picci. Error Analysis of CertainSubspace Methods. pp. 85--90, 2000   [BibTeX]  
A. Chiuso, S. Soatto. Monte Carlo filtering on Lie Groups. Proceedings of IEEE Conf. on Dec. and Control, 2000   [BibTeX]  
A. Chiuso, G. Picci. Probing Inputs for Subspace Identification. pp. 1--6, 2000   [BibTeX]  
1999
H. Kawauchi, A. Chiuso, T. Katayama, G. Picci. Comparison of Two Subspace Identification Methods for CombinedDeterministic -Stochastic Systems. pp. 7--12, 1999   [BibTeX]  
A. Chiuso, G. Picci. Subspace Identification by orthogonal decomposition. vol. Hpp. 241--246, 1999   [BibTeX]  
1998
A. Chiuso, G. Picci. A wide-sense estimation theory on the unit sphere. vol. FM02-5pp. 3745--3750, 1998   [BibTeX]  
A. Chiuso, G. Picci. Visual Tracking of Points as Estimation on the Unit Sphere. The Confluence of Vision and Control. vol. 237pp. 90--105, 1998   [BibTeX]