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EXTENDING THE DUAL REPRESENTATION ISSUE

by Amy Jean Macconnell, Melinda A. Novak, Department Head , 2000
"... Symbolic thinking:: extending the dual representation issue beyond the model/room paradigm. ..."
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Symbolic thinking:: extending the dual representation issue beyond the model/room paradigm.

Intelligence Without Representation

by Rodney Brooks - Artificial Intelligence , 1991
"... Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach t ..."
Abstract - Cited by 1798 (13 self) - Add to MetaCart
Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach

ABSTRACT On Knowledge Representation issues

by unknown authors
"... Knowledge Representations issues take on special significance in the light of development of the novel Web’s reality that involves the Semantic Web, GRID, P2P and other today’s ITs. In contrast to the previous IT evolution’s stages, the recent one utilizes ontology as separated resource. An elaborat ..."
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Knowledge Representations issues take on special significance in the light of development of the novel Web’s reality that involves the Semantic Web, GRID, P2P and other today’s ITs. In contrast to the previous IT evolution’s stages, the recent one utilizes ontology as separated resource

Good News and Bad News: Representation Theorems and Applications

by Paul R. Milgrom - Bell Journal of Economics
"... prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtai ..."
Abstract - Cited by 700 (3 self) - Add to MetaCart
prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may

Classification in the KL-ONE knowledge representation system

by James G. Schmolze, Thomas A. Lipkis - COGNITIVE SCIENCE , 1985
"... KL-ONE lets one define and use a class of descriptive terms called Concepts, where each Concept denotes a set of objects A subsumption relation between Concepts is defined which is related to set inclusion by way of a semantics for Concepts. This subsumption relation defines a partial order on Conce ..."
Abstract - Cited by 673 (8 self) - Add to MetaCart
discuss these issues and demonstrate some uses of the classification algorithm.

Robust face recognition via sparse representation

by John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, Yi Ma - IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2008
"... We consider the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise. We cast the recognition problem as one of classifying among multiple linear regression models, and argue that new theory from sparse signa ..."
Abstract - Cited by 936 (40 self) - Add to MetaCart
signal representation offers the key to addressing this problem. Based on a sparse representation computed by ℓ 1-minimization, we propose a general classification algorithm for (image-based) object recognition. This new framework provides new insights into two crucial issues in face recognition: feature

Image retrieval: Current techniques, promising directions and open issues

by Yong Rui, Thomas S. Huang - Journal of Visual Communication and Image Representation , 1999
"... This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. The survey includes 100+ papers covering the research aspects of image fea ..."
Abstract - Cited by 507 (15 self) - Add to MetaCart
feature representation and extraction, multidimensional indexing, and system design, three of the fundamental bases of content-based image retrieval. Furthermore, based on the state-of-the-art technology available now and the demand from real-world applications, open research issues are identified

Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search

by Henry Kautz, Bart Selman , 1996
"... Planning is a notoriously hard combinatorial search problem. In many interesting domains, current planning algorithms fail to scale up gracefully. By combining a general, stochastic search algorithm and appropriate problem encodings based on propositional logic, we are able to solve hard planning pr ..."
Abstract - Cited by 579 (33 self) - Add to MetaCart
on representational issues in planning.

Bargaining and Representation Issues

by William A. Herbert, William A. Herbert , 2014
"... Professions (National Center) is a four-decade old institution that is supported by and located at ..."
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Professions (National Center) is a four-decade old institution that is supported by and located at

M.: Representational issues in meta-learning

by Alexandros Kalousis, Melanie Hilario - In: Proceedings of the 20th International Conferente on Machine Learning. (2003) 313–320
"... To address the problem of algorithm selec-tion for the classification task, we equip a case-based system with new similarity mea-sures that are able to cope with multi-relational representations. The proposed approach builds on notions from clustering and is closely related to ideas developed in dis ..."
Abstract - Cited by 14 (2 self) - Add to MetaCart
in distance-based relational learning. The ideas presented are pertinent not only for meta-learning representational issues, but for all domains with similar representation require-ments. 1.
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