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BMVC
1998
14 years 11 months ago
A Method for Dynamic Clustering of Data
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
Arnaldo J. Abrantes, Jorge S. Marques
DSN
2011
IEEE
13 years 9 months ago
Analysis of security data from a large computing organization
In this work, we study security incidents that occurred over period of 5 years at the National Center for Supercomputing Applications at the University of Illinois. The analysis co...
Aashish Sharma, Zbigniew Kalbarczyk, James Barlow,...
FUIN
2008
101views more  FUIN 2008»
14 years 10 months ago
Translation of Intermediate Language to Timed Automata with Discrete Data
The aim of this work is to describe the translation from Intermediate Language, one of the input formalisms of the model checking platform VerICS, to timed automata with discrete d...
Agata Janowska, Pawel Janowski, Dobieslaw Wr&oacut...
ICDE
2007
IEEE
138views Database» more  ICDE 2007»
15 years 11 months ago
Representing and Querying Correlated Tuples in Probabilistic Databases
Probabilistic databases have received considerable attention recently due to the need for storing uncertain data produced by many real world applications. The widespread use of pr...
Prithviraj Sen, Amol Deshpande
EMNLP
2009
14 years 7 months ago
A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression
This work introduces a model free approach to sentence compression, which grew out of ideas from Nomoto (2008), and examines how it compares to a state-of-art model intensive appr...
Tadashi Nomoto