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» Distributed Data Clustering Can Be Efficient and Exact
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WWW
2011
ACM
13 years 5 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
CMOT
2004
141views more  CMOT 2004»
13 years 10 months ago
Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs
We describe a methodology to examine bipartite relational data structures as exemplified in networks of corporate interlocking. These structures can be represented as bipartite gr...
Garry Robins, Malcolm Alexander
FCCM
1999
IEEE
146views VLSI» more  FCCM 1999»
14 years 2 months ago
Sepia: Scalable 3D Compositing Using PCI Pamette
We have implemented an image combining architecture that allows distributed rendering of a partitioned data set at interactive rates. The architecture achieves real-time frame rat...
Laurent Moll, Mark Shand, Alan Heirich
DAGSTUHL
2007
13 years 12 months ago
An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
Susan Darling Urban, Suzanne W. Dietrich, Yi Chen
CVPR
2012
IEEE
12 years 25 days ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...