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MLDM
2009
Springer
15 years 5 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
80
Voted
CIKM
2003
Springer
15 years 4 months ago
Summarization evaluation using relative utility
We present a series of experiments to demonstrate the validity of Relative Utility (RU) as a measure for evaluating extractive summarizers. RU is applicable in both singledocument...
Dragomir R. Radev, Daniel Tam
86
Voted
SSPR
2000
Springer
15 years 2 months ago
Prototype Learning with Attributed Relational Graphs
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
Pasquale Foggia, Roberto Genna, Mario Vento
ICASSP
2010
IEEE
14 years 11 months ago
A non-iterative estimator for the concentration parameter of the relative phase distribution
In this paper, we propose an approximation of the relative phase probability function (RP pdf) and use it to find a non-iterative estimator for the concentration parameter of the...
Yothin Rakvongthai, Soontorn Oraintara
FUIN
2008
142views more  FUIN 2008»
14 years 11 months ago
Relational Transformation-based Tagging for Activity Recognition
Abstract. The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks...
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De R...