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CASE STUDY Open Access DCMS: A data analytics and management system for molecular simulation
"... available at the end of the article Molecular Simulation (MS) is a powerful tool for studying physical/chemical features of large systems and has seen applications in many scientific and engineering domains. During the simulation process, the experiments generate a very large number of atoms and int ..."
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available at the end of the article Molecular Simulation (MS) is a powerful tool for studying physical/chemical features of large systems and has seen applications in many scientific and engineering domains. During the simulation process, the experiments generate a very large number of atoms
Comparing Dynamic Causal Models
- NEUROIMAGE
, 2004
"... This article describes the use of Bayes factors for comparing Dynamic Causal Models (DCMs). DCMs are used to make inferences about effective connectivity from functional Magnetic Resonance Imaging (fMRI) data. These inferences, however, are contingent upon assumptions about model structure, that is, ..."
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Cited by 114 (37 self)
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This article describes the use of Bayes factors for comparing Dynamic Causal Models (DCMs). DCMs are used to make inferences about effective connectivity from functional Magnetic Resonance Imaging (fMRI) data. These inferences, however, are contingent upon assumptions about model structure, that is
Phylogenetic analysis of large sequence data sets
- in Proceedings cf the Second Biotechnology and Bio0informntics SSymposium
"... Abstract — Phylogenetic analysis is an integral part of biological research. As the number of sequenced genomes increases, available data sets are growing in number and size. Several algorithms have been proposed to handle these larger data sets. A family of algorithms known as disc covering methods ..."
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Cited by 2 (2 self)
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methods (DCMs), have been selected by the NSF funded CIPRes project to boost the performance of existing phylogenetic algorithms. Recursive Iterative Disc Covering Method 3 (Rec-I-DCM3), recursively decomposes the guide tree into subtrees, executing a phylogenetic search on the subtree and merging
DISCRIMINATIVE LEARNING OF DEFORMABLE CONTOUR MODELS
"... In this work we propose a machine learning approach to improve shape detection accuracy in medical images with deformable contour models (DCMs). Our DCMs can efficiently recover globally optimal solutions that take into account constraints on shape and appearance in the model fitting criterion; our ..."
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Cited by 1 (1 self)
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model can also deal with global scale variations by operating in a multi-scale pyramid. Our main contribution consists in formulating the task of learn-ing the DCM score function as a large-margin structured prediction problem. Our algorithm trains DCMs in an joint manner- all the pa
Decentralized Resource Management for a Distributed Continuous Media Server
- IEEE Transactions on Parallel and Distributed Systems
, 2002
"... AbstractÐDistributed continuous media server (DCMS) architectures are proposed to minimize the communication-storage cost for those continuous media applications that serve a large number of geographically distributed clients. Typically, a DCMS is designed as a pure hierarchy (tree) of centralized c ..."
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Cited by 14 (3 self)
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AbstractÐDistributed continuous media server (DCMS) architectures are proposed to minimize the communication-storage cost for those continuous media applications that serve a large number of geographically distributed clients. Typically, a DCMS is designed as a pure hierarchy (tree) of centralized
Dynamic Configuration Management in Reliable Distributed RealTime Information Systems
- IEEE Trans. on Knowledge and Data Engr
, 1999
"... Abstract—Large-scale information systems emerging in challenging application fields must meet the high standards of reliability, maintainability, and service interruption bound requirements. Their operations are entirely, or partially, of the distributed real-time data object manipulation type. A ne ..."
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Cited by 9 (4 self)
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Abstract—Large-scale information systems emerging in challenging application fields must meet the high standards of reliability, maintainability, and service interruption bound requirements. Their operations are entirely, or partially, of the distributed real-time data object manipulation type. A
Geographic and cartographic contexts in generalization
- Proceedings of ICA Workshop on Generalization and Multiple representation
, 2004
"... Apart from the cultural differences, the common expectation from national mapping agencies (NMAs) is to have a fully equipped GIS system that can help them manage and accomplish multiple scale map production with as much automation and flexibility as possible. The popular aim of the NMAs is to build ..."
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Cited by 7 (0 self)
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is to build a large-scale digital landscape model (DLM), from which medium- or small-scale DLMs are to be derived. The digital cartographic models (DCMs) are then to be compiled from the correspondent DLMs. Generalization is at the heart of such a production strategy. The challenge in developing
Flight Test Data Cycle Map Optimisation
, 2006
"... Flight testing of aircraft in which new design concepts, problems, and deficiencies are examined, involves the collection of a large quantity of data or test parameters allocated onto blocks within a telemetry frame or Data Cycle Map (DCM). Individual parameters are sampled at different rates and ma ..."
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Cited by 1 (0 self)
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Flight testing of aircraft in which new design concepts, problems, and deficiencies are examined, involves the collection of a large quantity of data or test parameters allocated onto blocks within a telemetry frame or Data Cycle Map (DCM). Individual parameters are sampled at different rates
Automated generation and updating of digital city models using high-resolution line scanning systems
, 2005
"... During the past few years lots of research has been carried out in the field of building extraction from airborne laser scanner data and airborne large-scale imagery. This data can be used to create highly detailed Digital Surface Models (DSMs) and eventually Digital City Models (DCMs). It seems tha ..."
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Cited by 4 (2 self)
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During the past few years lots of research has been carried out in the field of building extraction from airborne laser scanner data and airborne large-scale imagery. This data can be used to create highly detailed Digital Surface Models (DSMs) and eventually Digital City Models (DCMs). It seems
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