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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
14 years 10 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 ...
MOBISYS
2008
ACM
14 years 9 months ago
Cascadia: a system for specifying, detecting, and managing rfid events
Cascadia is a system that provides RFID-based pervasive computing applications with an infrastructure for specifying, extracting and managing meaningful high-level events from raw...
Evan Welbourne, Nodira Khoussainova, Julie Letchne...
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
14 years 4 months ago
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
—This paper describes a multi-threaded parallel design and implementation of the Smith-Waterman (SM) algorithm on compute unified device architecture (CUDA)-compatible graphic pr...
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
BTW
2009
Springer
166views Database» more  BTW 2009»
14 years 4 months ago
TinTO: A Tool for View-Based Analysis of Stock Market Data Streams
: TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing a wide spectrum of data streams. As ap...
Andreas Behrend, Christian Dorau, Rainer Manthey
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