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ICIP
2007
IEEE
13 years 11 months ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
GD
2006
Springer
13 years 11 months ago
SSDE: Fast Graph Drawing Using Sampled Spectral Distance Embedding
Abstract. We present a fast spectral graph drawing algorithm for drawing undirected connected graphs. Classical Multi-Dimensional Scaling yields a quadratictime spectral algorithm,...
Ali Civril, Malik Magdon-Ismail, Eli Bocek-Rivele
CEAS
2008
Springer
13 years 9 months ago
Toward a stochastic speech act model of email behavior
Human interpersonal face-to-face interaction can be considered in terms of successions of speech acts. These are utterances which contain an intention, and the act of creating an ...
John Mildinhall, Jan Noyes
CEC
2005
IEEE
13 years 9 months ago
Nonlinear mapping using particle swarm optimisation
Abstract— Nonlinear mapping is an approach of multidimensional scaling where a high-dimensional space is transformed into a lower-dimensional space such that the topological char...
Auralia I. Edwards, Andries Petrus Engelbrecht, Ne...
DAGSTUHL
2007
13 years 9 months ago
Correlation-based Data Representation
The Dagstuhl Seminar Similarity-based Clustering and its Application to Medicine and Biology (07131) held in March 25–30, 2007, provided an excellent atmosphere for in-depth disc...
Marc Strickert, Udo Seiffert