• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 5,301
Next 10 →

Coordination of Data in Heterogeneous Domains

by Michael Lawrence, Rachel Pottinger, Sheryl Staub-french
"... Abstract — Existing semantic integration approaches to coordinating data do not meet the needs of real world scenarios which contain fine-grained relationships between data sources. In this paper, we describe extensions to the popular GLAV mapping formalism to express such relationships. We outline ..."
Abstract - Add to MetaCart
methods for solving the data coordination problem using these mappings, and discuss future research problems for data coordination to be realized in heterogeneous domain scenarios that occur in practice. Wall(id, type, length, height, area) Layer(id, material, thickness)

Helmholtz equation Heterogeneous domain

by Dan Gordon A, Rachel Gordon B, High Frequency, High Order Scheme
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
Abstract - Add to MetaCart
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:

Ptolemy: A Framework for Simulating and Prototyping Heterogeneous Systems

by Joseph Buck, Soonhoi Ha, Edward A. Lee, David G. Messerschmitt , 1992
"... Ptolemy is an environment for simulation and prototyping of heterogeneous systems. It uses modern object-oriented software technology (C++) to model each subsystem in a natural and efficient manner, and to integrate these subsystems into a whole. Ptolemy encompasses practically all aspects of design ..."
Abstract - Cited by 571 (89 self) - Add to MetaCart
Ptolemy is an environment for simulation and prototyping of heterogeneous systems. It uses modern object-oriented software technology (C++) to model each subsystem in a natural and efficient manner, and to integrate these subsystems into a whole. Ptolemy encompasses practically all aspects

Heterogeneous Domain Adaptation for Multiple Classes

by Joey Tianyi, Zhou Ivor, W. Tsang, Sinno Jialin, Pan Mingkui Tan
"... In this paper, we present an efficient multi-class heterogeneous domain adaptation method, where data from source and target domains are repre-sented by heterogeneous features of different di-mensions. Specifically, we propose to recon-struct a sparse feature transformation matrix to map the weight ..."
Abstract - Add to MetaCart
In this paper, we present an efficient multi-class heterogeneous domain adaptation method, where data from source and target domains are repre-sented by heterogeneous features of different di-mensions. Specifically, we propose to recon-struct a sparse feature transformation matrix to map the weight

Learning with Augmented Features for Heterogeneous Domain Adaptation

by Lixin Duan, Dong Xu, Ivor W. Tsang
"... We propose a new learning method for heterogeneous domain adaptation (HDA), in which the data from the source domain and the target domain are represented by heterogeneous features with different dimensions. Using two different projection matrices, we first transform the data from two domains into a ..."
Abstract - Cited by 32 (1 self) - Add to MetaCart
We propose a new learning method for heterogeneous domain adaptation (HDA), in which the data from the source domain and the target domain are represented by heterogeneous features with different dimensions. Using two different projection matrices, we first transform the data from two domains

Heterogeneous domain adaptation using manifold alignment

by Chang Wang, Sridhar Mahadevan - In IJCAI , 2011
"... We propose a manifold alignment based approach for heterogeneous domain adaptation. A key aspect of this approach is to construct mappings to link different feature spaces in order to transfer knowledge across domains. The new approach can reuse labeled data from multiple source domains in a target ..."
Abstract - Cited by 21 (0 self) - Add to MetaCart
We propose a manifold alignment based approach for heterogeneous domain adaptation. A key aspect of this approach is to construct mappings to link different feature spaces in order to transfer knowledge across domains. The new approach can reuse labeled data from multiple source domains in a target

A Graph-based Recommendation across Heterogeneous Domains

by Deqing Yang, Jingrui He, Huazheng Qin Yanghua Xiao, Wei Wang , 2015
"... Given the users from a social network site, who have been tagged with a set of terms, how can we recommend the movies tagged with a completely different set of terms hosted by another website? Given the users from a website dedicated to Type I and Type II diabetes, how can we recommend the discussio ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
the discussion threads from another website dedicated to gestational diabetes, where the keywords used in the two websites might be quite diverse? In other words, how can we recommend across heterogeneous domains characterized by barely overlapping feature sets? Despite the vast amount of existing work devoted

The physiology of the grid: An open grid services architecture for distributed systems integration

by Ian Foster , 2002
"... In both e-business and e-science, we often need to integrate services across distributed, heterogeneous, dynamic “virtual organizations ” formed from the disparate resources within a single enterprise and/or from external resource sharing and service provider relationships. This integration can be t ..."
Abstract - Cited by 1377 (33 self) - Add to MetaCart
In both e-business and e-science, we often need to integrate services across distributed, heterogeneous, dynamic “virtual organizations ” formed from the disparate resources within a single enterprise and/or from external resource sharing and service provider relationships. This integration can

PROCESS MANAGEMENT AND CONTROL FOR HETEROGENEOUS DOMAIN MODELS

by Takeshi Masuda
"... Abstract: The workflow of telecommunication operation support systems (telecomOSSs), which are a typical example of a heterogeneous domain model, often involves complicated cancellation processing. This paper proposes a ruledriven cancellation method and a middleware component that implements the m ..."
Abstract - Add to MetaCart
Abstract: The workflow of telecommunication operation support systems (telecomOSSs), which are a typical example of a heterogeneous domain model, often involves complicated cancellation processing. This paper proposes a ruledriven cancellation method and a middleware component that implements

Heterogeneous Domain Adaptation Using Manifold Alignment

by Chang Wang, Sridhar Mahadevan - PROCEEDINGS OF THE TWENTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
"... We propose a manifold alignment based approach for heterogeneous domain adaptation. A key aspect of this approach is to construct mappings to link different feature spaces in order to transfer knowledge across domains. The new approach can reuse labeled data from multiple source domains in a target ..."
Abstract - Add to MetaCart
We propose a manifold alignment based approach for heterogeneous domain adaptation. A key aspect of this approach is to construct mappings to link different feature spaces in order to transfer knowledge across domains. The new approach can reuse labeled data from multiple source domains in a target
Next 10 →
Results 1 - 10 of 5,301
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University