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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
PERCOM
2005
ACM
16 years 6 months ago
TinyLIME: Bridging Mobile and Sensor Networks through Middleware
In the rapidly developing field of sensor networks, bridging the gap between the applications and the hardware presents a major challenge. Although middleware is one solution, it ...
Carlo Curino, Matteo Giani, Marco Giorgetta, Aless...
WWW
2010
ACM
16 years 1 months ago
Money, glory and cheap talk: analyzing strategic behavior of contestants in simultaneous crowdsourcing contests on TopCoder.com
Crowdsourcing is a new Web phenomenon, in which a firm takes a function once performed in-house and outsources it to a crowd, usually in the form of an open contest. Designing ef...
Nikolay Archak
SAC
2009
ACM
16 years 1 months ago
Diverse peer selection in collaborative web search
Effective peer selection for intelligent query routing is a challenge in collaborative peer-based Web search systems, especially unstructured networks that do not have any central...
Le-Shin Wu, Filippo Menczer
OTM
2009
Springer
16 years 1 months ago
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research
Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experime...
Satya Sanket Sahoo, D. Brent Weatherly, Raghava Mu...
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