In this paper, we introduce a novel approach to guide tile size selection by employing analytical models to limit empirical search within a subspace of the full search space. Two analytical models are used together: 1) an existing conservative model, based on the data footprint of a tile, which ignores intra-tile cache block replacement, and 2) an aggressive new model that assumes optimal cache...

Many classes of methods for noisy optimization problems are based on function information computed on sequences of simplices. The Nelder-Mead, multidirectional search, and implicit filtering methods are three such methods. The performance of these methods can be explained in terms of the difference approximation of the gradient implicit in the function evaluations. Insight can be gained into ch...

A general hill-climbing attack to biometric systems based on a modification of the downhill simplex algorithm is presented. The scores provided by the matcher are used in this approach to adapt iteratively an initial estimate of the attacked template to the specificities of the client being attacked. The proposed attack is evaluated on a competitive feature-based signature verification system o...

We begin by apologizing for the lamentable omission of Professor Nelder’s interesting and controversial papers both in Lencina, Singer and Stanek (2005) and in Lencina and Singer (2006). Although the focus of our papers is much narrower than that of his articles, we feel that any manuscript touching the topic of parametrization and definition of hypotheses in linear mixed models should necessar...

Gail-Joon Ahn, University of North Carolina at Charlotte, USA Mike Burmester, Florida State University, USA Kevin Butler, Pennsylvania State University, USA Kai Chen, Google Inc., USA Jason Crampton, University of London, UK Eduardo Fernandez, Florida Atlantic University, USA Jon Giffin, Georgia Tech University, USA Yong Guan, Iowa State University, USA Jan Jurjens, The Open University, GB Yan ...

This paper proposes a new spectral transformation for speaker normalization. We use the Bilinear Transformation (BLT) to introduce a new frequency warping resulting from a mapping of a prototype Band-Pass (BP) filter into a general BP filter. This new transformation called “Band-Pass Transform” (BPT) offers two degrees of freedom enabling complex warpings of the frequency axis and different fro...

Wireless sensor networks (WSNs) have been of great interest among academia and industry due to their diverse applications in recent years. The main goal of a WSN is data collection. As the amount of the collected data increases, it would be essential to develop some techniques to analyze them. In this paper, we propose an in-network optimization algorithm based on Nelder-Mead simplex to increme...

The aim of this paper was to verify the capability of ENVISAT/ASAR images in providing soil moisture maps of agricultural areas. SAR images were collected in two sites in Italy (Alessandria and Montespertoli) in 2003 and 2004, along with ground measurements of soil moisture and roughness. The performances of some inversion statistical algorithms (Regression, Bayes, Neural Network, Nelder-Mead) ...

We perform an in-depth comparison of quantum annealing with several classical optimisation techniques, namely thermal annealing, Nelder-Mead, and gradient descent. begin a direct study the 2D Ising model on annealer, compare its properties directly those model. These include Ising-like phase transition that can be induced by either change in 'quantum-ness' theory, or scaling couplings up down. ...