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DEBS
2010
ACM
14 years 1 months ago
Predictive publish/subscribe matching
A new publish/subscribe capability is presented: the ability to predict the likelihood that a subscription will be matched at some point in the future. Composite subscriptions con...
Vinod Muthusamy, Haifeng Liu, Hans-Arno Jacobsen
FQAS
2000
Springer
137views Database» more  FQAS 2000»
14 years 1 months ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
COLING
2002
13 years 9 months ago
Unsupervised Named Entity Classification Models and their Ensembles
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
Jae-Ho Kim, In-Ho Kang, Key-Sun Choi
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
14 years 3 months ago
Evidential modeling for pose estimation
Pose estimation involves reconstructing the configuration of a moving body from images sequences. In this paper we present a general framework for pose estimation of unknown obje...
Fabio Cuzzolin, Ruggero Frezza
MP
2006
84views more  MP 2006»
13 years 9 months ago
On the behavior of the homogeneous self-dual model for conic convex optimization
Abstract. There is a natural norm associated with a starting point of the homogeneous selfdual (HSD) embedding model for conic convex optimization. In this norm two measures of the...
Robert M. Freund