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ICDE
2008
IEEE
139views Database» more  ICDE 2008»
15 years 11 months ago
Augmenting spatio-textual search with an infectious disease ontology
— A system is described that automatically categorizes and classifies infectious disease incidence reports by type and geographic location, to aid analysis by domain experts. It...
Michael D. Lieberman, Jagan Sankaranarayanan, Hana...
ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
15 years 11 months ago
Informed visual search: Combining attention and object recognition
Abstract— This paper studies the sequential object recognition problem faced by a mobile robot searching for specific objects within a cluttered environment. In contrast to curr...
Per-Erik Forssén, David Meger, Kevin Lai, S...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 5 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
WWW
2009
ACM
16 years 5 months ago
Using graphics processors for high performance IR query processing
Web search engines are facing formidable performance challenges as they need to process thousands of queries per second over billions of documents. To deal with this heavy workloa...
Shuai Ding, Jinru He, Hao Yan, Torsten Suel
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 5 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li