نتایج جستجو برای: grid search

تعداد نتایج: 375506  

2003
Shanshan Song Kai Hwang Rakesh Rajbanshi

A new trust-based model is developed for optimizing resource allocation in a distributed Grid computing environment. Highly shared resources in a Grid create the insecurity and dependability concerns that hinder distributed applications. We model the Grid resource allocation process as a multi-objective integer-programming problem. Trusted Grid computing power is maximized over multiple resourc...

2007
Hongxing Li Zhaoben Fang Dongming Zhao

GBP/USD currency exchange rates. A grid search is used to choose the optimal parameters.

Journal: :Signal Processing 2017
Qing Shen Wei Cui Wei Liu Siliang Wu Yimin Zhang Moeness G. Amin

A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then ...

Journal: :Journal of electronic imaging 2011
Francesc Massanes Marie Cadennes Jovan G. Brankov

In this paper we describe and evaluate a fast implementation of a classical block matching motion estimation algorithm for multiple Graphical Processing Units (GPUs) using the Compute Unified Device Architecture (CUDA) computing engine. The implemented block matching algorithm (BMA) uses summed absolute difference (SAD) error criterion and full grid search (FS) for finding optimal block displac...

2006
Yu-Gang Jiang Xiaoyong Wei Chong-Wah Ngo Hung-Khoon Tan Wanlei Zhao Xiao Wu

Local interest points (LIPs) and their features have been shown to obtain surprisingly good results in object detection and recognition. Its effectiveness and scalability, however, have not been seriously addressed in large-scale multimedia database, for instance TRECVID benchmark. The goal of our works is to investigate the role and performance of LIPs, when coupling with multi-modality featur...

2003
Jawed Siddiqi Babak Akhgar Mehrdad Naderi

Our research aims to further our understanding of grid enabled knowledge management services. We do so by developing the novel notion of knowledge management services that are derived from a synthesis of current taxonomies in knowledge management and grounded by categories obtained through an elicitation exercise involving domain experts. The latter activity is part of GRACE Grid enabled Search...

2009
Antonia Gallardo Luis Díaz de Cerio Roc Meseguer Andreu Pere Isern-Deyà Kana Sanjeevan

Nowadays, the Grid is the focus of multiple researches. Our work is centered on Resource Management for Grids as it is an opened and current research area. Decentralized, scalable and efficient resource search algorithms are one of the key issues for resource management in large Grid systems. Resource search is required in order to allocate applications and data efficiently and to maintain the ...

2014
Imen Châari Anis Koubaa Hachemi Bennaceur Adel Ammar Sahar Trigui Mohamed Tounsi Elhadi M. Shakshuki Habib Youssef

This paper investigates the capabilities of tabu search for solving the global path planning problem in grid maps. Accordingly, a tabu search system model is designed and a tabu search planner algorithm for solving the path planning problem is proposed. A comprehensive simulation study is conducted using the proposed model and algorithm, in terms of solution quality and execution time. A compar...

Journal: :SIAM J. Discrete Math. 2015
Michael Fuchs Chung-Kuei Lee

The Wiener index has been studied for simply generated random trees, non-plane unlabeled random trees and a huge subclass of random grid trees containing random binary search trees, random medianof-(2k+ 1) search trees, random m-ary search trees, random quadtrees, random simplex trees, etc. An important class of random grid trees for which the Wiener index was not studied so far are random digi...

Journal: :J. Graphics, GPU, & Game Tools 2009
Serkan Bayraktar Ugur Güdükbay Bülent Özgüç

This paper presents a neighbor-search technique to be used in a GPU-based particle simulation framework. Neighbor searching is usually the most computationally expensive step in particle simulations. The usual approach is to subdivide the simulation space to speed up neighbor search. Here, we present a grid-based neighbor-search technique designed to work on programmable graphics hardware.

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