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ICASSP
2010
IEEE
13 years 8 months ago
Summarization- and learning-based approaches to information distillation
Information distillation is the task that aims to extract relevant passages of text from massive volumes of textual and audio sources, given a query. In this paper, we investigate...
Boriska Toth, Dilek Hakkani-Tür, Sibel Yaman
PODS
2008
ACM
109views Database» more  PODS 2008»
14 years 8 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
AGENTS
2001
Springer
14 years 1 months ago
A multi-agent system for automated genomic annotation
Massive amounts of raw data are currently being generated by biologists while sequencing organisms. Outside of the largest, high-pro le projects such as the Human Genome Project, ...
Keith Decker, Xiaojing Zheng, Carl Schmidt
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
14 years 8 months ago
Mining from Large Image Sets
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
SIGIR
2005
ACM
14 years 2 months ago
An industrial-strength content-based music recommendation system
We present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentatio...
Pedro Cano, Markus Koppenberger, Nicolas Wack