Group re-identification (G-ReID) focuses on associating the group images containing same persons under different cameras. The key challenge of G-ReID is that all cases intra-group member and layout variations are hard to exhaust. To this end, we propose a novel uncertainty modeling, which treats each image as distribution depending current layout, then digs out potential features by random samp...

During a revisit to modal identification in the past three decades, an overview of the major developments and issues in modal identification is motivated. A brief review on the progress from Single-Input/Single-Output (SISO), Single-Input/Multi-Output (SIMO) to Multi-Input/Multi-Output (MIMO) identification in frequency, time and spatial domain, is presented. The latest developments and issues ...

Identification for robust control must deliver not only a nominal model, but also a reliable estimate of the uncertainty associated with the model. This paper addresses recent approaches to robust identification, that aim at dealing with contributions from the two main uncertainty sources: unmodeled dynamics and noise affecting the data. In particular, the following methods are considered: non-...

Model validation and flight test data analysis require careful consideration of the effects of uncertainty, noise, and nonlinearity. Uncertainty prevails in the data analysis techniques and results in a composite model uncertainty from unmodeled dynamics, assumptions and mechanics of the estimation procedures, noise, and nonlinearity. A fundamental requirement for reliable and robust model deve...

The traditional model validation procedure has been criticized in many areas of environmental engineering. In this paper, it is suggested to replace it by a more reasonable procedure: “model evaluation”. A framework for model evaluation and structure selection (FMESS) is presented. Based on statistical learning theory, this framework considers the model identification step as a learning problem...

Abstract: In this paper we extend the theory of Radio Frequency (RF) propagation as it relates to propagation within metal circular pipes. This work is motivated by a need to understand the operation of UHF Radio Frequency IDentification (RFID) systems when the tags are placed within the pipes. These circular pipes are shown to be similar to metal tube waveguides which are hollow. We derive the...

Social scientists have criticised computer models of pedestrian streams for their treatment of psychological crowds as mere aggregations of individuals. Indeed most models for evacuation dynamics use analogies from physics where pedestrians are considered as particles. Although this ensures that the results of the simulation match important physical phenomena, such as the deceleration of the cr...

[1] Contaminant source identification is an important type of inverse problem in groundwater modeling and is subject to both data and model uncertainty. Model uncertainty was rarely considered in the previous studies. In this work, a robust framework for solving contaminant source recovery problems is introduced. The contaminant source identification problem is first cast into one of solving un...

Register data that originate from administrative or other secondary sources are increasingly being used to generate statistical outputs directly. The coverage of the input datasets is an important issue in this respect. Traditionally capture-recapture models have been used to deal with multiple list enumerations subjected to undercoverage errors. The aim of this article is to scope possible app...

In this paper, a modified Smith predictor in the presence of input and output disturbances as well as modeling uncertainty is investigated. The modified Smith predictor includes the feedforward Smith predictor and the compensator that approximates the inverse of time-delay. Assuming a multiplicative uncertainty, a robust stability criterion and a compensator design criterion are derived. The mo...