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» Approximate Data Structures with Applications
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BMCBI
2006
103views more  BMCBI 2006»
15 years 7 months ago
Meta-All: a system for managing metabolic pathway information
Background: Many attempts are being made to understand biological subjects at a systems level. A major resource for these approaches are biological databases, storing manifold inf...
Stephan Weise, Ivo Grosse, Christian Klukas, Dirk ...
220
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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 8 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
228
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NN
2002
Springer
115views Neural Networks» more  NN 2002»
15 years 7 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
XSYM
2004
Springer
129views Database» more  XSYM 2004»
16 years 26 days ago
Fractional XSketch Synopses for XML Databases
A key step in the optimization of declarative queries over XML data is estimating the selectivity of path expressions, i.e., the number of elements reached by a specific navigatio...
Natasha Drukh, Neoklis Polyzotis, Minos N. Garofal...
ICCV
2011
IEEE
14 years 7 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan