Works Published in 2004
Displaying all 10 works
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2004 conference paper
Multi-label Machine Learning and Its Application to Semantic Scene Classification
Proceedings of Storage and Retrieval Methods and Applications for Multimedia 2004, 5307, 188–199.
Event: IS&T/SPIE’s Sixteenth Annual Symposium on Electronic Imaging at San Jose, CA
TL;DR:
A framework to handle semantic scene classification, where a natural scene may contain multiple objects such that the scene can be described by multiple class labels, is presented and appears to generalize to other classification problems of the same nature.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: February 6, 2021
2004 report
Characterizing Phases in Service-Oriented Applications
(Technical Report No. TR848). Computer Science Dept., University of Rochester.
Source: NC State University Libraries
Added: January 30, 2021
2004 chapter
A Hierarchical Model of Reference Affinity
In Languages and Compilers for Parallel Computing (pp. 48–63).
TL;DR:
This paper proposes a new model of reference affinity that considers the distance between data accesses in addition to the frequency, and presents a statistical clustering method that identifies affinity groups among structure fields and data arrays by analyzing training runs of a program.
(via Semantic Scholar)
citeseerx.ist.psu.edu (repository)
Sources: Crossref, NC State University Libraries
Added: September 10, 2020
2004 journal article
Learning multi-label scene classification
Pattern Recognition, 37(9), 1757–1771.
author keywords: image understanding; semantic scene classification; multi-label classification; multi-label training; multi-label evaluation; image organization; cross-training; Jaccard similarity
TL;DR:
A framework to handle semantic scene classification, where a natural scene may contain multiple objects such that the scene can be described by multiple class labels, is presented and appears to generalize to other classification problems of the same nature.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 6, 2020
2004 conference paper
Adaptive data partition for sorting using probability distribution
International Conference on Parallel Processing, 2004. ICPP 2004. Presented at the International Conference on Parallel Processing, 2004. ICPP 2004.
Event: International Conference on Parallel Processing, 2004. ICPP 2004.
TL;DR:
A new partition method in sorting scenario based on probability distribution is presented, an idea first studied by Janus and Lamagna in early 1980's on a mainframe computer and an efficient implementation on modern, cache-based machines is presented.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020
2004 conference paper
Array regrouping and structure splitting using whole-program reference affinity
Proceedings of the ACM SIGPLAN 2004 conference on Programming language design and implementation - PLDI '04, 255.
Event: the ACM SIGPLAN 2004 conference
TL;DR:
A model of reference affinity is defined, which measures how close a group of data are accessed together in a reference trace, and it is proved that the model gives a hierarchical partition of program data.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020
2004 conference paper
Locality phase prediction
Proceedings of the 11th international conference on Architectural support for programming languages and operating systems - ASPLOS-XI. Presented at the the 11th international conference.
Event: the 11th international conference
TL;DR:
Compared with existing methods based on program code and execution intervals, locality phase prediction is unique because it uses locality profiles, and it marks phase boundaries in program code.
(via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 5, 2020
2004 article
Integrated analysis of computer and physical experiments
Technometrics, Vol. 46, pp. 153–164.
Contributors: C. Reese*, A. Wilson* , M. Hamada *, H. Martz* & K. Ryan*
author keywords: Bayesian hierarchical models; calibratiom; regression
TL;DR:
The proposed integrated methodology is illustrated by using it to model the thermodynamic operation point of a top-spray fluidized bed microencapsulation processing unit used in the food industry to tune the effect of functional ingredients and additives.
(via Semantic Scholar)
Source: ORCID
Added: December 7, 2019
2004 journal article
A fully Bayesian approach for combining multilevel failure information in fault tree quantification and optimal follow-on resource allocation
Reliability Engineering and System Safety, 86(3), 297–305.
Contributors: M. Hamada *, H. Martz*, C. Reese*, T. Graves*, V. Johnson * & A. Wilson*
author keywords: genetic algorithm; information gain; Markov chain Monte Carlo
TL;DR:
A fully Bayesian approach that simultaneously combines non-overlapping (in time) basic event and higher-level event failure data in fault tree quantification in order to achieve optimal allocation of resources.
(via Semantic Scholar)
Source: ORCID
Added: December 7, 2019
2004 journal article
Assessing production quality with nonstandard measurement errors
Journal of Quality Technology, 36(2), 193–206. http://www.scopus.com/inward/record.url?eid=2-s2.0-2342535114&partnerID=MN8TOARS
Contributors: A. Wilson , M. Hamada & M. Xu
Source: ORCID
Added: December 7, 2019
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
