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BMVC
2010
13 years 5 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
GIS
2009
ACM
14 years 8 months ago
Efficient and Secure Distribution of Massive Geo-Spatial Data
Modern geographic databases can contain a large volume of data that need to be distributed to subscribed customers. The data can be modeled as a cube, where typical dimensions inc...
Hao Yuan, Mikhail J. Atallah
WWW
2005
ACM
14 years 8 months ago
Expressiveness of XSDs: from practice to theory, there and back again
On an abstract level, XML Schema increases the limited expressive power of Document Type Definitions (DTDs) by extending them with a recursive typing mechanism. However, an invest...
Geert Jan Bex, Wim Martens, Frank Neven, Thomas Sc...
POPL
2008
ACM
14 years 7 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume
STOC
2004
ACM
158views Algorithms» more  STOC 2004»
14 years 7 months ago
Collective asynchronous reading with polylogarithmic worst-case overhead
The Collect problem for an asynchronous shared-memory system has the objective for the processors to learn all values of a collection of shared registers, while minimizing the tot...
Bogdan S. Chlebus, Dariusz R. Kowalski, Alexander ...