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» Inferring Knowledge from a Large Semantic Network
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EDBT
2008
ACM
120views Database» more  EDBT 2008»
16 years 4 months ago
Flint: Google-basing the Web
Several Web sites deliver a large number of pages, each publishing data about one instance of some real world entity, such as an athlete, a stock quote, a book. Even though it is ...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
MATES
2004
Springer
15 years 9 months ago
Paraconsistent Assertions
Classical logic predicts that everything (thus nothing useful at all) follows from inconsistency. A paraconsistent logic is a logic where inconsistency does not lead to such an exp...
Jørgen Villadsen
PR
2011
14 years 7 months ago
Generalized darting Monte Carlo
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Cristian Sminchisescu, Max Welling
CVPR
2008
IEEE
16 years 6 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
EUC
2005
Springer
15 years 9 months ago
Ubiquitous Computing: Challenges in Flexible Data Aggregation
Abstract. A dramatic increase of event monitoring capabilities by wireless sensors requires new, more sophisticated, event correlation over time and space. This new paradigm implie...
Eiko Yoneki, Jean Bacon