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AGTIVE
2003
Springer
14 years 2 months ago
Specifying Pointer Structures by Graph Reduction
Graph-reduction specifications (GRSs) are a powerful new method for specifying classes of pointer data structures (shapes). They cover important shapes, like various forms of bal...
Adam Bakewell, Detlef Plump, Colin Runciman
NIPS
2001
13 years 10 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 9 months ago
Where is Randomness Needed to Break the Square-Root Bottleneck?
As shown by Tropp, 2008, for the concatenation of two orthonormal bases (ONBs), breaking the square-root bottleneck in compressed sensing does not require randomization over all th...
Patrick Kuppinger, Giuseppe Durisi, Helmut Bö...
SIGIR
2005
ACM
14 years 2 months ago
Exploiting the hierarchical structure for link analysis
Link analysis algorithms have been extensively used in Web information retrieval. However, current link analysis algorithms generally work on a flat link graph, ignoring the hiera...
Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Z...
JITECH
2010
106views more  JITECH 2010»
13 years 7 months ago
Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
Miha Skerlavaj, Vlado Dimovski, Kevin C. Desouza