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PAMI
2006
141views more  PAMI 2006»
13 years 9 months ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee
IJDAR
2007
106views more  IJDAR 2007»
13 years 9 months ago
Investigation and modeling of the structure of texting language
Language usage over computer mediated discourses, like chats, emails and SMS texts, significantly differs from the standard form of the language. An urge towards shorter message l...
Monojit Choudhury, Rahul Saraf, Vijit Jain, Animes...
TMI
2008
136views more  TMI 2008»
13 years 9 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen
CJ
2004
141views more  CJ 2004»
13 years 8 months ago
Modeling and Analysis of a Scheduled Maintenance System: a DSPN Approach
This paper describes a way to manage the modeling and analysis of Scheduled Maintenance Systems (SMS) within an analytically tractable context. We chose a significant case study h...
Andrea Bondavalli, Roberto Filippini
JETAI
1998
110views more  JETAI 1998»
13 years 8 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos