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| 1 | A supervised multimanifold method with locality preserving for face recognition using single sample per person显示文摘Although real-world experiences show that preparing one image per person is more convenient, most of the appearance-based face recognition methods degrade or fail to work if there is only a single sample per person(SSPP). In this work, we introduce a novel supervised learning method called supervised locality preserving multimanifold(SLPMM) for face recognition with SSPP. In SLPMM, two graphs: within-manifold graph and between-manifold graph are made to represent the information inside every manifold and the information among different manifolds, respectively. SLPMM simultaneously maximizes the between-manifold scatter and minimizes the within-manifold scatter which leads to discriminant space by adopting locality preserving projection(LPP) concept. Experimental results on two widely used face databases FERET and AR face database are presented to prove the efficacy of the proposed approach. | Nabipour Mehrasa Aghagolzadeh Ali Motameni Homayun | 2017 | Journal of Central South University2017，24，12： | 3 |
| 2 | Brand equity valuation: a global perspective显示文摘 | Reza Motameni Manuchehr Shahrokhi | 1998 | Journal of Product & Brand Management1998，，4： | 2 |
| 3 | Next gen- eration sequencing of miRNAs Strategies, re- sources and methods显示文摘 | Motameny S Wolters S Ntrnberg P | 2010 | Genes(Basel)2010，1，1： | 1 |
| 4 | Brand equity valuation : A global perspective 显示文摘 | Motameni R Shahrokhi M | 1998 | Journal of Product and Brand Management1998，7，4： | 1 |
| 5 | Brand equity valuation:a global perspective显示文摘 | Motameni R Shahrokhi M | 1998 | Journal of Product & Brand Management1998，7，4： | 1 |
| 6 | c-Jun N-terminal kinase 1 is required for Toll-like receptor 1 gene expression in macrophages显示文摘 | Izadi H Motameni A T Bates T C | 2007 | Infect Immun2007，75，10： | 1 |
| 7 | Mapping to convert activity diagram in fuzzy UML to fuzzy Petri net 显示文摘 | MOTAMENI H MOVAGHAR A DANESHFAR I | 2008 | World Applied Sciences Journal2008，3，3： | 1 |
| 8 | Analysissoftware with an object-oriented Petri net model 显示文摘 | Motameni H Movaghar A Shirazi B | 2008 | World Applied Sciences Journal2008，3，4： | 1 |
| 9 | Transforming fuzzy communication diagram to fuzzy Petri net显示文摘 | Motameni H Ghassempouri T | 2011 | AmericanJournal of Scientific Research2011，16，： | 1 |
| 10 | Analysis Software with an Object-oriented Petri Nets Model显示文摘 | Motameni H Movaghar A Shirazi B | 2008 | World Applied Sciences Journal2008，4，3： | 1 |
| 11 | Analysis software with an object-oriented Petri Net model 显示文摘 | Motameni H Movaghar A Shirazi B | 2008 | World Applied Sciences Journal2008，3，4： | 1 |
| 12 | Solving the Task Starvation and Resources Problem Using Optimized SMPIA in Cloud显示文摘In this study,a new feature is added to the smart message passing interface(SMPI)approach(SMPIA)based on the prioritization method,which cancompletely eliminate the task starvation and lack of sufficient resources problemsthrough prioritizing the tasks.The proposed approach is based on prioritizing thetasks and the urgency of implementation.Tasks are prioritized based on executiontime,workload,the task with a more sensitive priority is executed earlier by thefree source.The idea of demand-bound functions(DBFs)was extended to theSMPIA setting based on partitions and caps.For each task,two DBFs are constructed,DBFLO and DBFHI,for the LO and HI criticality modes,respectively.The simulation results returned by MATLAB showed that with the optimizedSMPIA(O-SMPIA),the parameters of maximum service execution time,response time,delay time,and throughput improved in this work.In addition,the results confirmed that the reduction of execution time,completion time,andresource consumption time did not affect the response time and throughput ofworkflow tasks and did not cause inefficient use of resources in virtual machines(VMs)and data centers(DCs).The evaluation of performance metrics showedthat the delay,response time of the Greedy algorithm was less than that ofMax-Min and Min-Min.At the same time,the execution time of Max-Min wasless than the others and the throughput of the Greedy was longer.The effectand throughput of O-SMPIA became more obvious as change to the job countand the number of cloud workloads increased.It is also worth mentioning thatone of the main advantages of the O-SMPIA to other methods is the efficientuse of time to execute all the defined tasks by CPU. | Mehran Mokhtari Homayun Motameni Peyman Bayat | 2022 | Computer Systems Science & Engineering2022，42，8： | 0 |
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