Arezou Keshavarz

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We consider an optimizing process (or parametric optimization problem), i.e., an optimization problem that depends on some parameters. We present a method for imputing or estimating the objective function, based on observations of optimal or nearly optimal choices of the variable for several values of the parameter, and prior knowledge (or assumptions)(More)
In this paper we develop a distributed vision-based smart home care system aimed for monitoring elderly persons remotely. The cameras are triggered by a broadcast from the user badge when accelerometers on the badge detect a signal indicating an accidental fall. Tracking the approximate position of the user by the network allows for triggering cameras with(More)
This paper considers moving horizon estimation (MHE) approach to solution of staged quadratic programming (QP) problems. Using an insight into the constrained solution structure for the growing horizon, we develop a very accurate iterative update of the arrival cost in the MHE solution. The update uses a quadratic approximation of the arrival cost and(More)
A wireless sensor network employing multiple sensing and event detection modalities and distributed processing is proposed for smart home monitoring applications. Image sensing and vision-based reasoning are employed to verify and further analyze events reported by other sensors. The system has been developed to address the growing application domain in(More)
The fundamental point of this paper is that the fusion of several simple, somewhat unreliable, and somewhat inefficient frontal face detectors results in an efficient and reliable frontal face detector which, without any training, performs similarly to a state-of-the-art neural network based face detector trained on 60,000 images. The simple detectors used(More)
Generalized additive models are an effective regression tool, popular in the statistics literature, that provides an automatic extension of traditional linear models to nonlinear systems. We present a distributed algorithm for fitting generalized additive models, based on the alternating direction method of multipliers (ADMM). In our algorithm the component(More)
Adaptive beamforming algorithms that control smart antennas is known to have resolution and interference rejection capability when coefficients of the array factor (AF) is known. However, the performance of adaptive beamforming techniques may degrade severely in the presence of mismatches between the presumed and actual signal steering vectors. This problem(More)
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