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» Data Aggregation Sets in Adaptive Data Model
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JCB
2007
198views more  JCB 2007»
15 years 6 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
CGF
2005
311views more  CGF 2005»
15 years 6 months ago
Cubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data
In this paper, we present a new method for surface extraction from volume data which preserves sharp features, maintains consistent topology and generates surface adaptively witho...
Chien-Chang Ho, Fu-Che Wu, Bing-Yu Chen, Yung-Yu C...
PREMI
2011
Springer
14 years 9 months ago
Finding Potential Seeds through Rank Aggregation of Web Searches
This paper presents a potential seed selection algorithm for web crawlers using a gain - share scoring approach. Initially we consider a set of arbitrarily chosen tourism queries. ...
Rajendra Prasath, Pinar Öztürk
ICML
2009
IEEE
16 years 6 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
235
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VLDB
2008
ACM
127views Database» more  VLDB 2008»
16 years 6 months ago
Delay aware querying with Seaweed
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...