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» Approximation of Data by Decomposable Belief Models
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SIGMOD
2006
ACM
149views Database» more  SIGMOD 2006»
14 years 9 months ago
Efficient query processing on unstructured tetrahedral meshes
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
Stratos Papadomanolakis, Anastassia Ailamaki, Juli...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 11 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
WWW
2007
ACM
14 years 9 months ago
Netprobe: a fast and scalable system for fraud detection in online auction networks
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? This paper describes the design and implemen...
Shashank Pandit, Duen Horng Chau, Samuel Wang, Chr...
CAD
2008
Springer
13 years 8 months ago
Polycube splines
This paper proposes a new concept of polycube splines and develops novel modeling techniques for using the polycube splines in solid modeling and shape computing. Polycube splines...
Hongyu Wang, Ying He 0001, Xin Li, Xianfeng Gu, Ho...
ICDE
2007
IEEE
148views Database» more  ICDE 2007»
14 years 10 months ago
Efficient Detection of Distributed Constraint Violations
In many distributed environments, the primary function of monitoring software is to detect anomalies, that is, instances when system behavior deviates substantially from the norm....
Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Raje...