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ICDE
2012
IEEE
228views Database» more  ICDE 2012»
13 years 1 days ago
A General Method for Estimating Correlated Aggregates over a Data Stream
—On a stream of two dimensional data items (x, y) where x is an item identifier, and y is a numerical attribute, a correlated aggregate query requires us to first apply a selec...
Srikanta Tirthapura, David P. Woodruff
COMPGEOM
2008
ACM
14 years 11 months ago
Towards persistence-based reconstruction in euclidean spaces
Manifold reconstruction has been extensively studied for the last decade or so, especially in two and three dimensions. Recent advances in higher dimensions have led to new method...
Frédéric Chazal, Steve Oudot
BMCBI
2007
134views more  BMCBI 2007»
14 years 9 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 hour ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
IVC
2002
132views more  IVC 2002»
14 years 9 months ago
Structure and motion estimation from apparent contours under circular motion
In this paper we address the problem of recovering structure and motion from the apparent contours of a smooth surface. Fixed image features under circular motion and their relati...
Kwan-Yee Kenneth Wong, Paulo R. S. Mendonça...