Browsing by Keywords "Vectors"
Now showing items 1-20 of 63
-
Adaptive filtering for non-gaussian stable processes
(IEEE, 1994)A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this letter, a-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ... -
Adaptive methods for dithering color images
(Institute of Electrical and Electronics Engineers, 1997-07)Most color image printing and display devices do not have the capability of reproducing true color images. A common remedy is the use of dithering techniques that take advantage of the lower sensitivity of the eye to spatial ... -
An algorithm based on facial decomposition for finding the efficient set in multiple objective linear programming
(Elsevier, 1996)We propose a method for finding the efficient set of a multiple objective linear program based on the well-known facial decomposition of the efficient set. The method incorporates a simple linear programming test that ... -
Analyzing large sparse Markov chains of Kronecker products
(IEEE, 2009)Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation ... -
Authorship attribution: performance of various features and classification methods
(IEEE, 2007-11)Authorship attribution is the process of determining the writer of a document. In literature, there are lots of classification techniques conducted in this process. In this paper we explore information retrieval methods ... -
Autonomous multiple teams establishment for mobile sensor networks by SVMs within a potential field
(2012)In this work, a new method and algorithm for autonomous teams establishment with mobile sensor network units by SVMs based on task allocations within a potential field is proposed. The sensor network deployed into the ... -
BilKristal 4.0: A tool for crystal parameters extraction and defect quantification
(Elsevier, 2015)In this paper, we present a revised version of BilKristal 3.0 tool. Raycast screenshot functionality is added to provide improved visual analysis. We added atomic distance analysis functionality to assess crystalline ... -
Block SOR preconditioned projection methods for Kronecker structured Markovian representations
(SIAM, 2005)Kronecker structured representations are used to cope with the state space explosion problem in Markovian modeling and analysis. Currently, an open research problem is that of devising strong preconditioners to be used ... -
Capacity region of multi-resolution streaming in peer-to-peer networks
(IEEE, 2013)We consider multi-resolution streaming in fully-connected peer-to-peer networks, where transmission rates are constrained by arbitrarily specified upload capacities of the source and peers. We fully characterize the capacity ... -
Classification of closed and open shell pistachio nuts using principal component analysis of impact acoustics
(IEEE, 2004-05)An algorithm was developed to separate pistachio nuts with closed-shells from those with open-shells. It was observed that upon impact on a steel plate, nuts with closed-shells emit different sounds than nuts with open-shells. ... -
Compact representation of solution vectors in Kronecker-based Markovian analysis
(Springer, 2016-08)It is well known that the infinitesimal generator underlying a multi-dimensional Markov chain with a relatively large reachable state space can be represented compactly on a computer in the form of a block matrix in which ... -
Comparison and combination of two novel commercial detection methods
(IEEE, 2004-06)Detection and removal of commercials plays an important role when searching for important broadcast news video material. In this study, two novel approaches are proposed based on two distinctive characteristics of commercials, ... -
Comparison of multilevel methods for kronecker-based Markovian representations
(Springer, 2004)The paper presents a class of numerical methods to compute the stationary distribution of Markov chains (MCs) with large and structured state spaces. A popular way of dealing with large state spaces in Markovian modeling ... -
Comparison of partitioning techniques for two-level iterative solvers on large, sparse Markov chains
(SIAM, 2000)Experimental results for large, sparse Markov chains, especially the ill-conditioned nearly completely decomposable (NCD) ones, are few. We believe there is need for further research in this area, specifically to aid in ... -
Componentwise bounds for nearly completely decomposable Markov chains using stochastic comparison and reordering
(Elsevier, 2005)This paper presents an improved version of a componentwise bounding algorithm for the state probability vector of nearly completely decomposable Markov chains, and on an application it provides the first numerical results ... -
Compressive sensing based flame detection in infrared videos
(IEEE, 2013)In this paper, a Compressive Sensing based feature extraction algorithm is proposed for flame detection using infrared cameras. First, bright and moving regions in videos are detected. Then the videos are divided into ... -
Conditional steady-state bounds for a subset of states in Markov chains
(ACM, 2006-10)The problem of computing bounds on the conditional steady-state probability vector of a subset of states in finite, ergodic discrete-time Markov chains (DTMCs) is considered. An improved algorithm utilizing the strong ... -
Distance-based classification methods
(Taylor & Francis, 1999)Given a set of points in a Euclidean space, and a partitioning of this 'training set' into two or more subsets ('classes'), we consider the problem of identifying a 'reasonable' assignment of another point in the Euclidean ... -
Downlink beamforming under individual SINR and per antenna power constraints
(IEEE, 2007-08)In this paper we consider the problem of finding the optimum beamforming vectors for the downlink of a multiuser system, where there are individual signal to interference plus noise ratio (SINR) targets for each user. ... -
An effective preconditioner based on schur complement reduction for integral-equation formulations of dielectric problems
(IEEE, 2009)The author consider effective preconditioning of recently proposed two integral-equation formulations for dielectrics; the combined tangential formulation (CTF) and the electric and magnetic current combined-field integral ...
