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WSOM
2009
Springer
16 years 23 days ago
Towards Semi-supervised Manifold Learning: UKR with Structural Hints
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Hel...
GMP
2006
IEEE
102views Solid Modeling» more  GMP 2006»
16 years 6 days ago
Representing Topological Structures Using Cell-Chains
Abstract. A new topological representation of surfaces in higher dimensions, “cell-chains” is developed. The representation is a generalization of Brisson’s cell-tuple data s...
David E. Cardoze, Gary L. Miller, Todd Phillips
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
15 years 11 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
15 years 11 months ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele
HIPEAC
2005
Springer
15 years 11 months ago
Beyond Basic Region Caching: Specializing Cache Structures for High Performance and Energy Conservation
Increasingly tight energy design goals require processor architects to rethink the organizational structure of microarchitectural resources. In this paper, we examine a new multila...
Michael J. Geiger, Sally A. McKee, Gary S. Tyson