Publications related to Least squares

Comparison of Gradient Estimation Methods for Real-time Optimization

Various real-time optimization techniques proceed by controlling the gradient to zero. These methods primarily differ in the way the gradient is estimated. This paper compares various gradient estimation methods. It is argued that methods with model-based ...

Elsevier2011

A Parameter Estimation Method for Fuel Cell Diagnostics

Jan Van Herle, Stefan Diethelm, Arata Nakajo, Leonidas Tsikonis

Researchers and developers typically use I-V curves (current vs. potential) as a means to demonstrate good data fitting of a model under experimental validation. Despite the popularity of this method, assessment of the results can be intuitive rather than ...

2011

Local Sampling Analysis for Quadratic Embeddings of Riemannian Manifolds

Hemant Tyagi

In this work we do a theoretical analysis of the local sampling conditions for points lying on a quadratic embedding of a Riemannian manifold in a Euclidean space. The embedding is assumed to be quadratic at a reference point

P

. Our analysis is based on ...

2011

A generalized-gradient approximation exchange hole model for dispersion coefficients

A simple method for computing accurate density-dependent dispersion coefficients is presented. The dispersion coefficients are modeled by a generalized gradient-type approximation to Becke and Johnson's exchange hole dipole moment formalism. Our most cost- ...

American Institute of Physics2011

Intracranial Stents Being Modeled as a Porous Medium: Flow Simulation in Stented Cerebral Aneurysms

Nikolaos Stergiopoulos, Philippe Reymond, Luca Augsburger

Intracranial aneurysms may be treated by flow diverters, alternatively to stents and coils combination. Numerical simulation allows the assessment of the complex nature of aneurismal flow. Endovascular devices present a rather dense and fine strut network, ...

Springer US2011

Sparsity Driven People Localization with a Heterogeneous Network of Cameras

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

In this paper, we propose to study the problem of localization of a dense set of people with a network of heterogeneous cameras. We propose to recast the problem as a linear inverse problem. The proposed framework is generic to any scene, scalable in the n ...

Springer Verlag2011

Least-Squares Minimization Under Constraints

Pascal Fua, Mathieu Salzmann, Raquel Urtasun, Aydin Varol

Unconstrained Least-Squares minimization is a well-studied problem. For example, the Levenberg-Marquardt is extremely effective and numerous implementations are readily available. These algorithms are, however, not designed to perform least-squares minimiz ...

EPFL2010

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Bixio Rimoldi, Marius Kleiner

An analog source is to be transmitted across a Gaussian channel in more than one channel use per source symbol. This paper derives a lower bound on the asymptotic mean squared error for a strategy that consists of repeatedly quantizing the source, transmit ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm

Ali H. Sayed

We study the problem of distributed estimation based on the affine projection algorithm (APA), which is developed from Newton's method for minimizing a cost function. The proposed solution is formulated to ameliorate the limited convergence properties of l ...

IEEE2010

Unbiased Model Combinations for Adaptive Filtering

Ali H. Sayed

In this paper, we consider model combination methods for adaptive filtering that perform unbiased estimation. In this widely studied framework, two adaptive filters are run in parallel, each producing unbiased estimates of an underlying linear model. The o ...

IEEE2010

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Comparison of Gradient Estimation Methods for Real-time Optimization

A Parameter Estimation Method for Fuel Cell Diagnostics

Local Sampling Analysis for Quadratic Embeddings of Riemannian Manifolds

A generalized-gradient approximation exchange hole model for dispersion coefficients

Intracranial Stents Being Modeled as a Porous Medium: Flow Simulation in Stented Cerebral Aneurysms

Sparsity Driven People Localization with a Heterogeneous Network of Cameras

Least-Squares Minimization Under Constraints

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm

Unbiased Model Combinations for Adaptive Filtering

Intracranial Stents Being Modeled as a Porous Medium: Flow Simulation in Stented Cerebral Aneurysms

A tight bound on the performance of a minimal-delay joint source-channel coding scheme

Local Sampling Analysis for Quadratic Embeddings of Riemannian Manifolds

A generalized-gradient approximation exchange hole model for dispersion coefficients

Unbiased Model Combinations for Adaptive Filtering

Comparison of Gradient Estimation Methods for Real-time Optimization

A Parameter Estimation Method for Fuel Cell Diagnostics

Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm

Least-Squares Minimization Under Constraints

Sparsity Driven People Localization with a Heterogeneous Network of Cameras