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» Models and Issues in Data Stream Systems
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TITS
2002
148views more  TITS 2002»
14 years 9 months ago
A self-describing data transfer model for ITS applications
The wide variety of remote sensors used in Intelligent Transportation Systems (ITS) applications (loops, probe vehicles, radar, cameras, etc.) has created a need for general method...
Daniel J. Dailey, Stuart Maclean, Fritz W. Cathey,...
FOCS
2004
IEEE
15 years 1 months ago
On the Streaming Model Augmented with a Sorting Primitive
The need to deal with massive data sets in many practical applications has led to a growing interest in computational models appropriate for large inputs. The most important quali...
Gagan Aggarwal, Mayur Datar, Sridhar Rajagopalan, ...
COLING
2008
14 years 11 months ago
Towards Incremental End-of-Utterance Detection in Dialogue Systems
We define the task of incremental or 0lag utterance segmentation, that is, the task of segmenting an ongoing speech recognition stream into utterance units, and present first resu...
Michaela Atterer, Timo Baumann, David Schlangen
SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
15 years 9 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan
NAACL
2010
14 years 7 months ago
Stream-based Translation Models for Statistical Machine Translation
Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
Abby Levenberg, Chris Callison-Burch, Miles Osborn...