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» Hierarchical Structuring of Data on Manifolds
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NIPS
2003
13 years 10 months ago
Locality Preserving Projections
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
Xiaofei He, Partha Niyogi
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
13 years 6 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
CCGRID
2009
IEEE
14 years 25 days ago
Hierarchical Caches for Grid Workflows
From personal software to advanced systems, caching mechanisms have steadfastly been a ubiquitous means for reducing workloads. It is no surprise, then, that under the grid and clu...
David Chiu, Gagan Agrawal
AVI
2004
13 years 10 months ago
A graph-based interface to complex hypermedia structure visualization
Complex hypermedia structures can be difficult to author and maintain, especially when the usual hierarchic representation cannot capture important relations. We propose a graph-b...
Manuel Freire, Pilar Rodríguez
ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 8 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby