به نام خدا
Title: Secure E-Commerce Protocol for Purchase of e-Goods - Using Smart Card
Authors: Devane, S.; Chatterjee, M.; Phatak, D.
Abstract: The rapid growth of e-commerce for buying and selling electronic goods or intangible goods has necessitated the need for development of a number of e-commerce protocols, which ensure integrity, confidentiality, atomicity and fair exchange. In this paper we propose an e-commerce protocol for performing business over the Internet. The protocol uses a smart card for ensuring mutual authentication, dispute resolution and fair exchange and reduces reliance on a trusted third party. Atomicity is also maintained in the protocol.
Publish Year: 2007
Published by: IAS – IEEE
موضوع: تجارت الکترونیک (Electronic Commerce)
ایران سای – مرجع علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Application of the Mean Field Methods to MRF Optimization in Computer Vision
Authors: Masaki Saito Takayuki Okatani Koichiro Deguchi
Abstract: The mean field (MF) methods are an energy optimization method for Markov random fields (MRFs). These methods, which have their root in solid state physics, estimate the marginal density of each site of an MRF graph by iterative computation, similarly to loopy belief propagation (LBP).It appears that, being shadowed by LBP, the MF methods have not been seriously considered in the computer vision community. This study investigates whether these methods are useful for practical problems, particularly MPM (Maxi-mum Posterior Marginal) inference, in computer vision. To be specific, we apply the naive MF equations and the TAP (Thou less-Anderson-Palmer) equations to interactive segmentation and stereo matching. In this paper, firstly, we show implementation of these methods for computer vision problems. Next, we discuss advantages of the MF methods to LBP. Finally, we present experimental results that the MFmethods are well comparable to LBP in terms of accuracy and global convergence; furthermore, the 3rd-order TAP equation often outperforms LBP in terms of accuracy.
Publish Year: 2012
Published in: CVPR - IEEE
موضوع: بینایی ماشین (Computer Vision)
ایران سای – مرجع علمی فنی مهندسی
حامی دانش بومی ایرانیان
