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Results 1 - 10
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2,050
On Sequential Monte Carlo Sampling Methods for Bayesian Filtering
- STATISTICS AND COMPUTING
, 2000
"... In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is develop ..."
Abstract
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Cited by 1051 (76 self)
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is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed. We show in particular how to incorporate local linearisation methods similar to those which have previously
Tcp-like congestion control for layered multicast data transfer
, 1998
"... Abstract—We present a novel congestion control algorithm suitable for use with cumulative, layered data streams in the MBone. Our algorithm behaves similarly to TCP congestion control algorithms, and shares bandwidth fairly with other instances of the protocol and with TCP flows. It is entirely rece ..."
Abstract
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Cited by 379 (12 self)
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Abstract—We present a novel congestion control algorithm suitable for use with cumulative, layered data streams in the MBone. Our algorithm behaves similarly to TCP congestion control algorithms, and shares bandwidth fairly with other instances of the protocol and with TCP flows. It is entirely
Dynamic Textures
, 2002
"... Dynamic textures are sequences of images of moving scenes that exhibit certain stationarity properties in time; these include sea-waves, smoke, foliage, whirlwind etc. We present a novel characterization of dynamic textures that poses the problems of modeling, learning, recognizing and synthesizing ..."
Abstract
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Cited by 377 (18 self)
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dynamic textures on a firm analytical footing. We borrow tools from system identification to capture the "essence" of dynamic textures; we do so by learning (i.e. identifying) models that are optimal in the sense of maximum likelihood or minimum prediction error variance. For the special case
A Variational Bayesian Framework for Graphical Models
- In Advances in Neural Information Processing Systems 12
, 2000
"... This paper presents a novel practical framework for Bayesian model averaging and model selection in probabilistic graphical models. Our approach approximates full posterior distributions over model parameters and structures, as well as latent variables, in an analytical manner. These posteriors ..."
Abstract
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Cited by 267 (7 self)
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This paper presents a novel practical framework for Bayesian model averaging and model selection in probabilistic graphical models. Our approach approximates full posterior distributions over model parameters and structures, as well as latent variables, in an analytical manner. These posteriors
Exploiting platform heterogeneity for power efficient data centers
- In Proceedings of the IEEE International Conference on Autonomic Computing (ICAC
, 2007
"... It has recently become clear that power management is of critical importance in modern enterprise computing environments. The traditional drive for higher performance has influenced trends towards consolidation and higher densities, artifacts enabled by virtualization and new small form factor serve ..."
Abstract
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Cited by 57 (4 self)
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workloads to the best fitting platforms, significantly improving the power efficiency of the whole data center. We perform this allocation by employing a novel analytical prediction layer that accurately predicts workload power/performance across different platform architectures and power management
3-D ICs: A Novel Chip Design for Improving Deep-Submicrometer Interconnect Performance and Systems-on-Chip Integration
- Proceedings of the IEEE
, 2001
"... This paper analyzes the limitations of the existing interconnect technologies and design methodologies and presents a novel three-dimensional (3-D) chip design strategy that exploits the vertical dimension to alleviate the interconnect related problems and to facilitate heterogeneous integration of ..."
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Cited by 164 (16 self)
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This paper analyzes the limitations of the existing interconnect technologies and design methodologies and presents a novel three-dimensional (3-D) chip design strategy that exploits the vertical dimension to alleviate the interconnect related problems and to facilitate heterogeneous integration
A onedimensional model of the seasonal thermocline. I. A laboratory experiment and its interpretation
- Tellus
, 1966
"... A theory of the layer formation due to surface processes is presented, which is more general than that used in the preceding paper I. Convection due to heating at depth and cooling at the surface is included, as well as the mechanical stirring due to wind action. The theory is applicable to arbitrar ..."
Abstract
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Cited by 178 (0 self)
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quantitative, as well as qualitative, comparison with the ocean. It is found that reasonable layer depths are predicted using measured heating rates, and a value of the turbulent kinetic energy input to the water deduced from the mean surface stress. The effects of heating at depth can be comparable with wind
Discovering Internet Marketing Intelligence through Online Analytical Web Usage Mining
"... This article describes a novel way of combining data mining techniques on Internet data in order to discover actionable marketing intelligence in electronic commerce scenarios. The data that is considered not only covers various types of server and web meta information, but also marketing data and k ..."
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Cited by 131 (2 self)
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and knowledge. Furthermore, heterogeneity resolution thereof and Internet- and electronic commerce-specific preprocessing activities are embedded. A generic web log data hypercube is formally defined and schematic designs for analytical and predictive activities are given. From these materialised views, various
COMPASS: a tool for comparison of multiple protein alignments with assessment of statistical significance
- J. Mol. Biol
, 2003
"... We present a novel method for the comparison of multiple protein align-ments with assessment of statistical significance (COMPASS). The method derives numerical profiles from alignments, constructs optimal local profile–profile alignments and analytically estimates E-values for the detected similari ..."
Abstract
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Cited by 125 (33 self)
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We present a novel method for the comparison of multiple protein align-ments with assessment of statistical significance (COMPASS). The method derives numerical profiles from alignments, constructs optimal local profile–profile alignments and analytically estimates E-values for the detected
Analytical Approach to Predicting Temperature Fields in Multi-Layered Pavement Systems
"... Abstract: An accurate and rapid estimation of the pavement temperature field is desired to better predict pavement responses and for pavement system design. In this paper, an innovative method to derive the theoretical solution of an axisymmetric temperature field in a multi-layered pavement system ..."
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Cited by 4 (2 self)
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Abstract: An accurate and rapid estimation of the pavement temperature field is desired to better predict pavement responses and for pavement system design. In this paper, an innovative method to derive the theoretical solution of an axisymmetric temperature field in a multi-layered pavement system
Results 1 - 10
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2,050
