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WWW
2005
ACM
16 years 7 months ago
LSH forest: self-tuning indexes for similarity search
We consider the problem of indexing high-dimensional data for answering (approximate) similarity-search queries. Similarity indexes prove to be important in a wide variety of sett...
Mayank Bawa, Tyson Condie, Prasanna Ganesan
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 7 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
VLDB
2007
ACM
155views Database» more  VLDB 2007»
16 years 7 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
16 years 6 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 ...
185
Voted
MOBISYS
2008
ACM
16 years 6 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...
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