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» Uncertain Clustering: Models, Methods and Applications
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APVIS
2006
13 years 6 months ago
Method for drawing intersecting clustered graphs and its application to web ontology language
We introduce a class of graphs called an intersecting clustered graph that is a clustered graph with intersections among clusters. We propose a novel method for nicely drawing the...
Hiroki Omote, Kozo Sugiyama
ICML
2007
IEEE
14 years 6 months ago
Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
Erick Delage, Shie Mannor
PODS
2009
ACM
119views Database» more  PODS 2009»
14 years 5 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
SUM
2010
Springer
13 years 3 months ago
Event Modelling and Reasoning with Uncertain Information for Distributed Sensor Networks
CCTV and sensor based surveillance systems are part of our daily lives now in this modern society due to the advances in telecommunications technology and the demand for better sec...
Jianbing Ma, Weiru Liu, Paul Miller
FCSC
2007
159views more  FCSC 2007»
13 years 5 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...