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7,047
A prototype framework for knowledge-based analog circuit synthesis
- Association for Computing Machinery
, 1987
"... An organization for a knowledge-based analog (circuit synthesis tool is described. Analog circuit topologies are represented as a hierarchy of functional blocks; a planning mechanism is introduced to translate performance specifica-tions between levels in this circuit hierarchy. A prototype im-pleme ..."
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Cited by 9 (2 self)
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An organization for a knowledge-based analog (circuit synthesis tool is described. Analog circuit topologies are represented as a hierarchy of functional blocks; a planning mechanism is introduced to translate performance specifica-tions between levels in this circuit hierarchy. A prototype im
Fast-robots: A rapid-prototyping framework for intelligent mobile robots
- in: Proceedings of the 3rd International Conference on Artificial Intelligence and Applications, ACTA
, 2003
"... robotics ..."
Rapid Prototyping Frameworks for Developing Scientific Applications: A Case Study
"... In this paper, we describe a Python-based framework for the rapid prototyping of scientific applications. A case study was performed using a problem specification developed for Marmot, a project at the Los Alamos National Laboratory aimed at re-factoring standard physics codes into reusable and exte ..."
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In this paper, we describe a Python-based framework for the rapid prototyping of scientific applications. A case study was performed using a problem specification developed for Marmot, a project at the Los Alamos National Laboratory aimed at re-factoring standard physics codes into reusable
Rapid prototyping frameworks for developing scientific applications: A case study
"... Abstract In this paper, we describe a Python-based framework for the rapid prototyping of scientific applications. A case study was performed using a problem specification developed for Marmot, a project at the Los Alamos National Laboratory aimed at re-factoring standard physics codes into reusable ..."
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Abstract In this paper, we describe a Python-based framework for the rapid prototyping of scientific applications. A case study was performed using a problem specification developed for Marmot, a project at the Los Alamos National Laboratory aimed at re-factoring standard physics codes
RAID: High-Performance, Reliable Secondary Storage
- ACM COMPUTING SURVEYS
, 1994
"... Disk arrays were proposed in the 1980s as a way to use parallelism between multiple disks to improve aggregate I/O performance. Today they appear in the product lines of most major computer manufacturers. This paper gives a comprehensive overview of disk arrays and provides a framework in which to o ..."
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Cited by 348 (5 self)
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Disk arrays were proposed in the 1980s as a way to use parallelism between multiple disks to improve aggregate I/O performance. Today they appear in the product lines of most major computer manufacturers. This paper gives a comprehensive overview of disk arrays and provides a framework in which
A Software Prototyping Framework and Methods for Supporting Human’s Software Development Activities
"... Software development environment is a platform for supporting software designer to design software based on the software requirement specification. It is an interactive system with lots of human being involved. Human error, as the main threat for the dependability of the software development system, ..."
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, may greatly harm the quality of the produced software. In this paper, we present a practical framework for software prototyping, addressing two types of threats for the software prototype that will occur during designer’s prototype efforts. By illustrating information with multi-level representation
Svm-knn: Discriminative nearest neighbor classification for visual category recognition
- in CVPR
, 2006
"... We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is quite flexible, and permits recognition based on color, texture, and particularly shape, in a homogeneous framework. While n ..."
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Cited by 342 (10 self)
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We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is quite flexible, and permits recognition based on color, texture, and particularly shape, in a homogeneous framework. While
A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines
, 2012
"... We provide a novel interpretation of the dual of support vector machines (SVMs) in terms of scatter with respect to class prototypes and their mean. As a key contribution, we extend this framework to multiple classes, providing a new joint Scatter SVM algorithm, at the level of its binary counterpar ..."
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We provide a novel interpretation of the dual of support vector machines (SVMs) in terms of scatter with respect to class prototypes and their mean. As a key contribution, we extend this framework to multiple classes, providing a new joint Scatter SVM algorithm, at the level of its binary
1 A Semantic Web Service Discovery and Composition Prototype Framework Using Production Rules
"... Abstract. The full realization of the semantic Web services demands efficient algorithms able to perform the procedures of service discovery, composition and invocation. In this paper, we present ProSeDisCo, our approach for developing a semantic Web service discovery and composition framework on to ..."
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Abstract. The full realization of the semantic Web services demands efficient algorithms able to perform the procedures of service discovery, composition and invocation. In this paper, we present ProSeDisCo, our approach for developing a semantic Web service discovery and composition framework
A Probabilistic Framework for Semi-Supervised Clustering
, 2004
"... Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clusters. In recent years, a number of algorithms have been proposed for enhancing clustering quality by employing such supe ..."
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Cited by 275 (14 self)
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such supervision. Such methods use the constraints to either modify the objective function, or to learn the distance measure. We propose a probabilistic model for semisupervised clustering based on Hidden Markov Random Fields (HMRFs) that provides a principled framework for incorporating supervision into prototype
Results 11 - 20
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7,047