M
Mario Sznaier
Researcher at Northeastern University
Publications - 354
Citations - 6579
Mario Sznaier is an academic researcher from Northeastern University. The author has contributed to research in topics: Convex optimization & Robust control. The author has an hindex of 34, co-authored 330 publications receiving 6047 citations. Previous affiliations of Mario Sznaier include California Institute of Technology & University of Central Florida.
Papers
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Book ChapterDOI
Person Re-Identification Using Kernel-Based Metric Learning Methods
TL;DR: Four alternatives for re-ID classification are proposed: regularized Pairwise Constrained Component Analysis, kernel Local Fisher Discriminant Analysis, Marginal Fisher Analysis and a ranking ensemble voting scheme, used in conjunction with different sizes of sets of histogram-based features and linear, χ 2 and RBF-χ 2 kernels.
Book
Robust Systems Theory and Applications
TL;DR: Robust control is focused on the need to achieve greater accuracy and predictability in modern control systems, as are found in aircraft and rocket navigation systems, for example.
Proceedings ArticleDOI
The Way They Move: Tracking Multiple Targets with Similar Appearance
TL;DR: A computationally efficient algorithm for multi-object tracking by detection that addresses four main challenges: appearance similarity among targets, missing data due to targets being out of the field of view or occluded behind other objects, crossing trajectories, and camera motion is introduced.
Suboptimal control of linear systems with state and control lkequality constraints.
Mario Sznaier,Mark J. Damborg +1 more
TL;DR: In this article, a suboptimal controller based on online quadratic programming is proposed and theoretical results show that such a controller is optimal under the assumption that there are no constraints on the Computation time.
Proceedings ArticleDOI
Suboptimal control of linear systems with state and control inequality constraints
Mario Sznaier,Mark J. Damborg +1 more
TL;DR: In this article, a suboptimal controller based on online quadratic programming is described. But the authors assume that there are no constraints on the computation time and present an implementation of such a controller that takes such constraints into account.