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desirable features

by unknown authors
"... Media-streaming applications experience limited performance and perceptible quality degradation in the presence of random wireless errors, as the underlying congestion control typically interprets packet loss as the outcome of congestion. In this context, we propose a selective rate control, namely ..."
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Media-streaming applications experience limited performance and perceptible quality degradation in the presence of random wireless errors, as the underlying congestion control typically interprets packet loss as the outcome of congestion. In this context, we propose a selective rate control, namely AIAMD, which manages to differentiate congestive and non-congestive loss by utilizing history in its control rules. AIAMD combines the most

Desired Features and Design Methodologies of Secure . . .

by Hao-hsien Bobby Wang , 2004
"... ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Abstract not found

Desired features for a novel stent-graft

by Isa C. T. Santos, Luís A. Rocha, João Manuel, R. S. Taveres
"... Abstract. Abdominal aortic aneurysms are indolent but deadly. Among the current treatments is endovascular aneurysm repair, a minimally invasive procedure that resorts to a stent-graft to shield the aortic wall from blood pressure. Although this procedure allowed more patients to be treated and offe ..."
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and offers several other advantages, complications still occur and there is a need for a more efficient stent-graft. Here, the early steps performed in the development of a novel stent-graft are described, and desired features for an ‘ideal ’ device are pointed out. The implementation

Some Desired Features for the DEVS Architecture Description Language

by Olivier Dalle, Judicaël Ribault , 2011
"... ADL are particularly well suited for component-based model frameworks that support hierarchical composition, such as DEVS with coupled models. In this paper we present some features found in the ADL of another hierarchical component model, namely the Fractal Component Model (FCM). To our best knowle ..."
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ADL are particularly well suited for component-based model frameworks that support hierarchical composition, such as DEVS with coupled models. In this paper we present some features found in the ADL of another hierarchical component model, namely the Fractal Component Model (FCM). To our best

Sequential Monte Carlo Methods for Dynamic Systems

by Jun S. Liu, Rong Chen - Journal of the American Statistical Association , 1998
"... A general framework for using Monte Carlo methods in dynamic systems is provided and its wide applications indicated. Under this framework, several currently available techniques are studied and generalized to accommodate more complex features. All of these methods are partial combinations of three ..."
Abstract - Cited by 664 (13 self) - Add to MetaCart
algorithm by combining desirable features. In addition, we propose a general use of Rao-Blackwellization to improve performances. Examples from econometrics and engineering are presented to demonstrate the importance of Rao-Blackwellization and to compare different Monte Carlo procedures. Keywords: Blind

In vivo gene delivery and stable transduction of nondividing cells by a lentiviral vector

by Luigi Naldini, Ulrike Blomer, Daniel Ory, Richard Mulligan, Fred H. Gage, Inder M. Verma, Didier Trono - Science , 1996
"... A retroviral vector system based on the human immunodeficiency virus (HIV) was de-veloped that, in contrast to a murine leukemia virus-based counterpart, transduced heterologous sequences into HeLa cells and rat fibroblasts blocked in the cell cycle, as well as into human primary macrophages. Additi ..."
Abstract - Cited by 478 (17 self) - Add to MetaCart
have often relied on vectors derived from retro-viruses such as murine leukemia virus (MLV) (1, 2). These vectors are useful because the genes they transduce are inte-grated into the genome of the target cells, a desirable feature for long-term expression. However, these retroviral vectors can only

Implicit Fairing of Irregular Meshes using Diffusion and Curvature Flow

by Mathieu Desbrun , Mark Meyer, Peter Schröder, Alan H. Barr , 1999
"... In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable noise and uneven edges while retaining desirable geometric features. The problem arises mainly when creating high-fidelit ..."
Abstract - Cited by 542 (23 self) - Add to MetaCart
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable noise and uneven edges while retaining desirable geometric features. The problem arises mainly when creating high

Desired Features of a News Aggregator Service: an End-User Perspective

by Sudatta Chowdhury, Monica Landoni
"... Reports on what users experience when interacting with currently available news aggregator services. Five news aggregator services were chosen as the most representatives of emerging trends in this area of research and a combination of quantitative and qualitative methods were used for data collecti ..."
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on the review of literature and a detailed study of the chosen news aggregator services. A number of desirable features of news aggregators were identified. Concluded that an ideal model could be designed by combining the usability features of TvEyes and the retrieval performance of GoogleNews.

A computational approach to edge detection

by John Canny - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1986
"... This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumpti ..."
Abstract - Cited by 4675 (0 self) - Add to MetaCart
This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal

Loopy belief propagation for approximate inference: An empirical study. In:

by Kevin P Murphy , Yair Weiss , Michael I Jordan - Proceedings of Uncertainty in AI, , 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" -the use of Pearl's polytree algorithm in a Bayesian network with loops -can perform well in the context of error-correcting codes. The most dramatic instance of this is the near Shannon-limit performanc ..."
Abstract - Cited by 676 (15 self) - Add to MetaCart
nothing directly to do with coding or decoding will show that in some sense belief propagation "converges with high probability to a near-optimum value" of the desired belief on a class of loopy DAGs Progress in the analysis of loopy belief propagation has been made for the case of networks
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