The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Graph matching is a fundamental problem in computer vision and pattern recognition area. In general, it can be formulated as an Integer Quadratic Programming (IQP) problem. Since it is NP-hard, approximate relaxations are required. In this paper, a new graph matching method has been proposed. There are three main contributions of the proposed method: (1) we propose a new graph matching relaxation...
Saliency detection is an important problem in many computer vision applications. As a kind of popular method, graph based manifold ranking (GMR) has been successfully used in saliency detection problem. In traditional GMR saliency detection, it involves two main stages, i.e., ranking with background queries and ranking with foreground queries. However, in GMR method, these two stages are conducted...
In Machine learning (ML) the model we use is increasingly important, and the model's parameters, the key point of the ML, are adjusted through iteratively processing a training dataset until convergence. Although data-parallel ML systems often engage a perfect error tolerance when synchronizing the model parameters for maximizing parallelism, the synchronization of model parameters may delay in completion,...
Stochastic differential equations have been used intensively in stochastic control. In this paper, we present 2-dimensional Poisson Counter Driven Stochastic Differential Equation (PCSDE) models that lead to correlated bivariated power law behaviors. We propose two types of 2D PCSDE models and study their tail dependence behavior. The first model generates tail dependence coefficient with values either...
The effect of stanchion and reverse flow on turbine power performance is studied based on Computational Fluid Dynamics (CFD). The turbine in this paper is developed by National Ocean Technology Center (NOTC), the experiment study has been carried out in year 2014. The simulation model is validated based on experimental results. The CFD model can simulate the marine current conditions up to an acceptable...
The first and a crucial step in development of tidal current power is to make a comprehensive assessment at potential sites. In order to obtain the features of tidal current and properly site tidal current energy converter, the Regional Ocean Modeling System (ROMS) was employed to simulate tidal current in this region. Favorable comparison with the previous research indicates that this model has essential...
The existence and variability of wave energy resources of the Bohai Sea, Yellow Sea and East China Sea are studied using the 10-year (January 1st, 2003-December 31st, 2012) numerical hindcast wave data. The numerical model is a third-generation wave model developed by Key Lab of MArine Science and NUmerical Modeling, State Oceanic Administration (SOA), China and called MASNUM-WAM (Wave Model). The...
Recently, image set representation and classification is an important problem in computer vision and pattern recognition area. It has been widely used in many computer vision applications. In this paper, a new image set representation method, named covariate-relation graph (CRG), has been proposed. CRG aims to represent image set with a graph model. Compared with existing representation methods, CRG...
Building effective and efficient appearance models is a challenging task for robust object tracking. Online learned strategy is widely used to solve appearance changes for its adaptive ability. However, it will introduce potential drifting problems for the accumulation of errors during the self-updating. As a result, this paper attempts to create the visual object appearance model using cloud model...
Virtualization technology and MapReduce program model are sharp swords for the big data and cloud computing era. The combination of them exhibits powerful ability of easy-management, fast-deployment, feasible-scalability and high-efficiency. However, the downside is that the performance is limited by the I/O bottleneck of Virtual Machine(VM). A huge number of data should be handled in MapReduce cluster...
Statistical fault localization techniques find suspicious faulty program entities in programs by comparing passed and failed executions. Existing studies show that such techniques can be promising in locating program faults. However, coincidental correctness and execution crashes may make program entities indistinguishable in the execution spectra under study, or cause inaccurate counting, thus severely...
Knowledge representation has been the critical and intractable issues for a knowledge-based system, especially for complex or large systems. This paper proposes a knowledge representation approach for modeling rule-based systems using the defined fuzzy colored Petri nets (FCPN). The main advantages of this approach differ from the conventional ones consist in modeling rule-based systems particularly,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.