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» Using technologies to support reminiscence
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STOC
2009
ACM
99views Algorithms» more  STOC 2009»
16 years 4 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais
145
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 4 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
158
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CHI
2006
ACM
16 years 4 months ago
Tabletop sharing of digital photographs for the elderly
We have recently begun to see hardware support for the tabletop user interface, offering a number of new ways for humans to interact with computers. Tabletops offer great potentia...
Trent Apted, Judy Kay, Aaron J. Quigley
128
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ICDE
2010
IEEE
263views Database» more  ICDE 2010»
16 years 3 months ago
Managing Uncertainty of XML Schema Matching
Abstract-- Despite of advances in machine learning technologies, a schema matching result between two database schemas (e.g., those derived from COMA++) is likely to be imprecise. ...
Reynold Cheng, Jian Gong, David W. Cheung
MOBISYS
2008
ACM
16 years 3 months ago
Sherlock: automatically locating objects for humans
Over the course of a day a human interacts with tens or hundreds of individual objects. Many of these articles are nomadic, relying on human memory to manually index, inventory, o...
Aditya Nemmaluri, Mark D. Corner, Prashant J. Shen...