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» Selection Using Non-symmetric Context Areas
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FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
13 years 10 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho
INFOCOM
2009
IEEE
14 years 27 days ago
A Queueing Model Framework of PCE-Based Inter-Area Path Computation
Abstract—Path computation elements (PCE’s) are used to compute end-to-end paths across multiple areas. Multiple PCE’s may be dedicated to each area to provide sufficient path...
Juanjuan Yu, Yue He, Kai Wu, Marco Tacca, Andrea F...
ACSC
2005
IEEE
13 years 12 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
LACL
2011
Springer
12 years 9 months ago
Using Logic in the Generation of Referring Expressions
The problem of generating referring expressions (GRE) is an important task in natural language generation. In this paper, we advocate for the use of logical languages in the output...
Carlos Areces, Santiago Figueira, Daniel Gor&iacut...
TSMC
2008
99views more  TSMC 2008»
13 years 6 months ago
A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory
The need to merge multiple sources of uncertain information is an important issue in many application areas, especially when there is potential for contradictions between sources. ...
Anthony Hunter, Weiru Liu