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» Fusing Approximate Knowledge from Distributed Sources
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EMNLP
2011
12 years 8 months ago
Class Label Enhancement via Related Instances
Class-instance label propagation algorithms have been successfully used to fuse information from multiple sources in order to enrich a set of unlabeled instances with class labels...
Zornitsa Kozareva, Konstantin Voevodski, Shang-Hua...
JUCS
2010
108views more  JUCS 2010»
13 years 7 months ago
Integrating Social Networks for Context Fusion in Mobile Service Platforms
: It is important for mobile service providers to be aware of user contexts and to provide contextually relevant mobile services to users. Thereby, in this paper, we propose a nove...
Jason J. Jung
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
13 years 10 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
CVPR
2011
IEEE
13 years 13 days ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
IAAI
1993
13 years 10 months ago
ESDS: Materials Technology Knowledge Bases Supporting Design of Boeing Jetliners
This paper describes a large rule-based application called Engineering Standards Distribution System (ESDS). ESDS was built and deployed by Boeing and helps design engineers speci...
Mark A. Dahl