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A comparative study of energy minimization methods for Markov random fields

by Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Aseem Agarwala, Carsten Rother, et al. - IN ECCV , 2006
"... One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with some quantity such as depth or texture. While many such problems can be elegantly expressed in the language of Markov Ran ..."
Abstract - Cited by 415 (36 self) - Add to MetaCart
Random Fields (MRF’s), the resulting energy minimization problems were widely viewed as intractable. Recently, algorithms such as graph cuts and loopy belief propagation (LBP) have proven to be very powerful: for example, such methods form the basis for almost all the top-performing stereo methods

Named Graphs, Provenance and Trust

by Jeremy J. Carroll, Christian Bizer, Patrick Hayes, Patrick Stickler , 2004
"... The Semantic Web consists of many RDF graphs nameable by URIs. This paper extends the syntax and semantics of RDF to cover such Named Graphs. This enables RDF statements that describe graphs, which is beneficial in many Semantic Web application areas. As a case study, we explore the application area ..."
Abstract - Cited by 227 (3 self) - Add to MetaCart
The Semantic Web consists of many RDF graphs nameable by URIs. This paper extends the syntax and semantics of RDF to cover such Named Graphs. This enables RDF statements that describe graphs, which is beneficial in many Semantic Web application areas. As a case study, we explore the application

The Local Discontinuous Galerkin Method For Time-Dependent Convection-Diffusion Systems

by Bernardo Cockburn, Chi-wang Shu
"... In this paper, we study the Local Discontinuous Galerkin methods for nonlinear, time-dependent convection-diffusion systems. These methods are an extension of the Runge-Kutta Discontinuous Galerkin methods for purely hyperbolic systems to convection-diffusion systems and share with those methods the ..."
Abstract - Cited by 300 (34 self) - Add to MetaCart
In this paper, we study the Local Discontinuous Galerkin methods for nonlinear, time-dependent convection-diffusion systems. These methods are an extension of the Runge-Kutta Discontinuous Galerkin methods for purely hyperbolic systems to convection-diffusion systems and share with those methods

Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy.

by Ludmila I Kuncheva , Editor: Robert E Schapire - Machine Learning, , 2003
"... Abstract. Diversity among the members of a team of classifiers is deemed to be a key issue in classifier combination. However, measuring diversity is not straightforward because there is no generally accepted formal definition. We have found and studied ten statistics which can measure diversity am ..."
Abstract - Cited by 238 (0 self) - Add to MetaCart
Abstract. Diversity among the members of a team of classifiers is deemed to be a key issue in classifier combination. However, measuring diversity is not straightforward because there is no generally accepted formal definition. We have found and studied ten statistics which can measure diversity

Adaptive Segmentation of MRI data

by W.M. Wells, III, W.E.L. Grimson, R. Kikinis, F. A. Jolesz , 1995
"... Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and inter-scan intensity inhomogeneities are a common source of difficulty. While reported methods have had some success in correcting intra-scan inhomogeneities, such methods requi ..."
Abstract - Cited by 224 (15 self) - Add to MetaCart
Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and inter-scan intensity inhomogeneities are a common source of difficulty. While reported methods have had some success in correcting intra-scan inhomogeneities, such methods

Complete Computer System Simulation: The SimOS Approach

by Mendel Rosenblum, Stephen A. Herrod, Emmett Witchel, Anoop Gupta - IEEE Parallel and Distributed Technology , 1995
"... this article in fall 1993 and have been using it since early 1994. A simulation environment is only as good as the results it produces, and SimOS has proven to be extremely useful in our research. Recent studies in three areas illustrate the SimOS environment's effectiveness: Architectural e ..."
Abstract - Cited by 191 (2 self) - Add to MetaCart
this article in fall 1993 and have been using it since early 1994. A simulation environment is only as good as the results it produces, and SimOS has proven to be extremely useful in our research. Recent studies in three areas illustrate the SimOS environment's effectiveness: Architectural

A FAST SWEEPING METHOD FOR EIKONAL EQUATIONS

by Hongkai Zhao , 2004
"... In this paper a fast sweeping method for computing the numerical solution of Eikonal equations on a rectangular grid is presented. The method is an iterative method which uses upwind difference for discretization and uses Gauss-Seidel iterations with alternating sweeping ordering to solve the discr ..."
Abstract - Cited by 181 (7 self) - Add to MetaCart
. Monotonicity and stability properties of the fast sweeping algorithm are proven. Convergence and error estimates of the algorithm for computing the distance function is studied in detail. It is shown that 2n Gauss-Seidel iterations is enough for the distance function in n dimensions. An estimation

On Provenance Minimization

by Yael Amsterdamer , Daniel Deutch , Tova Milo , Val Tannen - In Proc. of the Symposium on Principles of Database Systems (PODS , 2011
"... ABSTRACT Provenance information has been proved to be very effective in capturing the computational process performed by queries, and has been used extensively as the input to many advanced data management tools (e.g. view maintenance, trust assessment, or query answering in probabilistic databases ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
databases). We study here the core of provenance information, namely the part of provenance that appears in the computation of every query equivalent to the given one. This provenance core is informative as it describes the part of the computational process that is inherent to the query. It is also useful

Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.

by Robert J Vallerand , Michelle S Fbrtier , Frederic Guay - Journal of Personality and Social Psychology, , 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
Abstract - Cited by 183 (19 self) - Add to MetaCart
that perceptions of autonomy are not especially useful because only perceptions of competence (or selfefficacy) are important predictors of motivation. On the other 10 Another potential explanation for the facl that the link between intention and behavior was not stronger in this study is that there was very

Reverse engineering of regulatory networks in human B cells.

by Katia Basso , Adam A Margolin , Gustavo Stolovitzky , Ulf Klein , Riccardo Dalla-Favera , Andrea Califano - Nat. Genet. , 2005
"... Cellular phenotypes are determined by the differential activity of networks linking coregulated genes. Available methods for the reverse engineering of such networks from genome-wide expression profiles have been successful only in the analysis of lower eukaryotes with simple genomes. Using a new m ..."
Abstract - Cited by 178 (2 self) - Add to MetaCart
Cellular phenotypes are determined by the differential activity of networks linking coregulated genes. Available methods for the reverse engineering of such networks from genome-wide expression profiles have been successful only in the analysis of lower eukaryotes with simple genomes. Using a new
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