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NIPS
1998
15 years 8 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
JCDL
2006
ACM
75views Education» more  JCDL 2006»
16 years 1 months ago
Quantifying the accuracy of relational statements in Wikipedia: a methodology
The Perseus Project at Tufts University produces tools to enhance the study of humanities texts. Perseus’ new named-entity browser lets users browse an index of references to pe...
Gabriel Weaver, Barbara Strickland, Gregory Crane
TMA
2010
Springer
206views Management» more  TMA 2010»
16 years 1 months ago
Collection and Exploration of Large Data Monitoring Sets Using Bitmap Databases
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary for...
Luca Deri, Valeria Lorenzetti, Steve Mortimer
ISCI
2002
118views more  ISCI 2002»
15 years 6 months ago
Hyper-rectangle based segmentation and clustering of large video data sets
Video information processing has been one of great challenging areas in the database community since it needs huge amount of storage space and processing power. In this paper, we ...
Seok-Lyong Lee, Chin-Wan Chung
SEMWEB
2010
Springer
15 years 5 months ago
Enterprise Data Classification Using Semantic Web Technologies
Organizations today collect and store large amounts of data in various formats and locations. However they are sometimes required to locate all instances of a certain type of data....
David Ben-David, Tamar Domany, Abigail Tarem