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VLDB
1997
ACM
78views Database» more  VLDB 1997»
15 years 1 months ago
Recovering Information from Summary Data
Data is often stored in summarized form, as a histogram of aggregates (COUNTs, SUMs, or AVeraGes) over speci ed ranges. We study how to estimate the original detail data from the ...
Christos Faloutsos, H. V. Jagadish, Nikolaos Sidir...
CVPR
2009
IEEE
16 years 5 months ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
PVLDB
2008
127views more  PVLDB 2008»
14 years 9 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller
BTW
2007
Springer
136views Database» more  BTW 2007»
15 years 4 months ago
System P: Completeness-driven Query Answering in Peer Data Management Systems
Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Armin Roth, Felix Naumann
INFOCOM
2006
IEEE
15 years 3 months ago
Capacity-Constrained Design of Resilient Multi-Tier Wireless Mesh Networks
nts etc.), an abstract graph of the deployment area and QoS constraints to generate appropriate logical topologies. WIND starts with the set of network elements to be deployed (Nod...
R. Raghuraman, Sridhar Iyer