| Efficient temporal sequence comparison and classification using gram matrix embeddings on a riemannian manifold X Zhang, Y Wang, M Gou, M Sznaier, O Camps Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 113 | 2016 |
| Key frame proposal network for efficient pose estimation in videos Y Zhang, Y Wang, O Camps, M Sznaier European Conference on Computer Vision, 609-625, 2020 | 34 | 2020 |
| Method and system for classifying an object-of-interest using an artificial neural network L He, Y Wang, A Lipchin US Patent 10,599,958, 2020 | 32 | 2020 |
| Self scaled regularized robust regression Y Wang, C Dicle, M Sznaier, O Camps Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 29 | 2015 |
| Convex optimization approaches to information structured decentralized control Y Wang, JA Lopez, M Sznaier IEEE Transactions on Automatic Control 63 (10), 3393-3403, 2018 | 22 | 2018 |
| Sparse static output feedback controller design via convex optimization Y Wang, J Lopez, M Sznaier 53rd IEEE Conference on Decision and Control, 376-381, 2014 | 22 | 2014 |
| Subspace clustering with priors via sparse quadratically constrained quadratic programming Y Cheng, Y Wang, M Sznaier, O Camps Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 14 | 2016 |
| A convex optimization approach to model (in) validation of switched arx systems with unknown switches Y Cheng, Y Wang, M Sznaier, N Ozay, C Lagoa 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 6284-6290, 2012 | 13 | 2012 |
| Sparse H2 optimal filter design via convex optimization J Lopez, Y Wang, M Sznaier 2014 American Control Conference, 1108-1113, 2014 | 11 | 2014 |
| A convex optimization approach to worst-case optimal sensor selection Y Wang, M Sznaier, F Dabbene 52nd IEEE Conference on Decision and Control, 6353-6358, 2013 | 11 | 2013 |
| A convex optimization approach to semi-supervised identification of switched arx systems Y Cheng, Y Wang, M Sznaier 53rd IEEE Conference on Decision and Control, 2573-2578, 2014 | 9 | 2014 |
| A super-atomic norm minimization approach to identifying sparse dynamical graphical models Y Wang, M Sznaier, O Camps 2016 American Control Conference (ACC), 1962-1967, 2016 | 7 | 2016 |
| ℓ∞worst-case optimal estimators for switched ARX systems Y Cheng, Y Wang, M Sznaier 52nd IEEE Conference on Decision and Control, 4036-4041, 2013 | 5 | 2013 |
| A convex optimization approach to design of information structured linear constrained controllers Y Wang, B Ozbay, M Sharif, M Sznaier 2016 IEEE 55th Conference on Decision and Control (CDC), 5335-5341, 2016 | 4 | 2016 |
| The Interplay Between Big Data and Sparsity in Systems Identification: Some Lessons from Machine Learning Y Cheng, Y Wang, O Camps, M Sznaier IFAC-PapersOnLine 48 (28), 1285-1292, 2015 | 4 | 2015 |
| A Convex Optimization Approach to Synthesizing Sparse Dynamic Output Feedback Controllers Y Wang, J Lopez, M Sznaier IFAC-PapersOnLine 48 (14), 95-100, 2015 | 3 | 2015 |
| Jensen bregman logdet divergence optimal filtering in the manifold of positive definite matrices Y Wang, O Camps, M Sznaier, BR Solvas European Conference on Computer Vision, 221-235, 2016 | 2 | 2016 |
| Identification of a class of generalized autoregressive conditional heteroskedasticity (GARCH) models with applications to covariance propagation Y Wang, M Sznaier, O Camps, F Pait 2015 54th IEEE Conference on Decision and Control (CDC), 795-800, 2015 | 2 | 2015 |
| Method, system and computer program product for self-learned and probabilistic-based prediction of inter-camera object movement C Lee, A Lipchin, Y Wang, K Liu US Patent 11,031,044, 2021 | 1 | 2021 |
| Identification of switched wiener systems based on local embedding X Zhang, Y Cheng, Y Wang, M Sznaier, O Camps 2016 IEEE 55th Conference on Decision and Control (CDC), 3904-3909, 2016 | 1 | 2016 |
Octavia I. CampsProfessor of Electrical and Computer Engineering, Northeastern UniversityVerified email at coe.neu.edu
